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    • 专利摘要:
    Systems and methods for determining an aircraft component phase position are provided. The method includes a step of receiving a data series (200) from a data acquisition system (119) associated with a component (122), a step of identifying a plurality of phase reference points (510A-C) based, at least in part, on the data series (200), each phase reference point (510A-C) being indicative of a phase position of the component (122) relative to the system acquiring data (119) at a respective time point. The method includes a step of generating a model (602) based, at least in part, on the plurality of phase reference points (510A-C), said model (602) being indicative of the phase position of the component (122) relative to the data acquisition system (119) at a plurality of times. The method includes a step of determining the phase position of the component (122) at one or more time points based, at least in part, on the model (602).
    公开号:FR3051926A1
    申请号:FR1754495
    申请日:2017-05-22
    公开日:2017-12-01
    发明作者:Timothy Robert North；Steven Bonnett；Tod Alexander Gilbert
    申请人:GE Aviation Systems Ltd；
    IPC主号:
    专利说明:

    Aircraft Component Control System
    The present invention relates to the general field of controlling aircraft components and more particularly to determining the phase position of a component of an aircraft.
    For the control and operation of individual machines, the aircraft often include sensors mounted on the machines of the aircraft. These sensors usually provide information about the machines. For example, sensors can provide information about the health, status, condition, and / or position of machines when they operate. Nevertheless, such information may be limited to only one fixed location associated with the machines. This can introduce a difficulty in the analysis of the health and condition of machines, especially for rotating machines which experience a change in speed of rotation over time. As such, machine analysis may be limited, for example, to asynchronous analytical techniques.
    Aspects and advantages of examples of the present invention will be set forth in part in the description which follows, or may be learned from the description, or may be learned by putting the examples into practice.
    The present invention relates to a computer implemented method for determining the phase position of a component in a mechanical system. The method may include the steps of receiving, by one or more computing devices, a first set of data from a data acquisition system associated with a component. The first data series may be indicative of a signal detected by the data acquisition system. The method may further include a step of identifying, by the one or more computing devices, a plurality of phase reference points based at least in part on the first data series. Each phase reference point may be indicative of a phase position of the component relative to the data acquisition system at a respective time point. The method may include a step of generating, by the one or more computing devices, a model based at least in part on the plurality of phase reference points. The model may be indicative of the phase position of the component relative to the data acquisition system at a plurality of times. The method may further include a step of determining, by the one or more computing devices, the phase position of the component at one or more time points based at least in part on the model.
    According to a second aspect, the present invention relates to a computer system for determining a component phase position. The computer system may include one or more processors and one or more memory devices. The one or more memory devices may store instructions that when executed by one or more processors cause the one or more processors to perform operations. The operations may include receiving a first set of data from a data acquisition system associated with a component. The first data series may be indicative of a signal detected by the data acquisition system. The operations may further include identifying a plurality of phase reference points based at least in part on the first data series. Each phase reference point may be indicative of a phase position of the component relative to the data acquisition system at a respective time point.
    The operations may include determining the phase position of the component at one or more time points based at least in part on the plurality of phase reference points.
    According to a third aspect, the present invention relates to an aircraft. The aircraft may include a component with a variable rotational speed, a data acquisition system associated with the component, and a computer system with one or more processors and one or more memory devices. The one or more memory devices may store instructions that when executed by one or more processors cause the one or more processors to perform operations. The operations may include receiving a first set of data from the data acquisition system. The first data series may be indicative of a signal associated with the component detected by the data acquisition system. The operations may further include identifying a plurality of signal pulses based on the first data set. Operations may include determining a threshold based at least in part on the pulses. The operations may further include identifying one or more of the plurality of pulses that are above the threshold. Pulses that are above the threshold may be associated with the component. The operations may include identifying a phase reference point for each of the one or more pulses associated with the component based at least in part on the first data series. Each phase reference point may be indicative of a phase position of the component relative to the data acquisition system at a respective time point. The operations may include determining the phase position of the component at one or more time points based at least in part on the plurality of phase reference points.
    In other aspects, the present invention is directed to systems, methods, aircraft, aeronautical systems, devices, computer readable non-transient media for determining a component phase position.
    Variations and modifications can be made to these aspects of the present invention.
    The present invention relates to systems and methods for determining component phase position in a mechanical system, such as, for example, an aircraft. For example, an aircraft may include a computer system in communication with one or more data acquisition system (s). The data acquisition system (s) may include, for example, a tachometer associated with a component of an aircraft engine. The component may be, for example, a rotating shaft with a variable rotational speed (e.g., a rate that changes with time). The computer system may receive a series of data from the data acquisition system (s) of the aircraft. The data series may be indicative of a signal associated with the rotating component and detected by the data acquisition system (s). In some implementations, the signal may include the frequency of the component as it turns toward and / or away from the data acquisition system (s). The computer system can identify a plurality of phase reference points based, at least in part, on the data series. Each of the phase reference points may indicate a phase position of the component relative to the data acquisition system at a respective time point. The computer system can generate a model based, at least in part, on the phase reference points. The model can be used by the computer system to determine the instantaneous phase position of the component at any time point in the measurement window of the data acquisition system (s). Therefore, this may allow the computer system to properly perform an analysis on a component that has a rate that changes over time (for example, via data sets acquired under unstable conditions). In addition, the computer system may perform analysis (e.g., synchronous analysis) to determine the relative phase shift between the signal detected by the data acquisition system (s) (for example, a tachometer) and other time series data, as well as to determine the existence of an abnormality in the component.
    More particularly, the data acquisition system (s) can control and collect a first set of data associated with a component. The component can be a mechanical component with a variable speed. For example, the component may be a rotating component that has a rotational speed that changes over time, such as a rotating shaft of a motor. The first data set may be indicative of a signal associated with the component that is detected by the data acquisition system (s). The signal can be associated with vibration, phase position, etc. associated with the component. In addition, the first set of data can be acquired when the speed of the component changes and / or under stable conditions. For example, in some implementations, the data acquisition system (s) may include a voltage sensor that measures the voltage pulses associated with the component. The voltage can be generated by an electric field that forms when the component rotates. When the component approaches the data acquisition system (s), current may flow in one direction, and as the component moves away from the data acquisition system (s), the current may change direction to flow in the opposite direction. The data acquisition system (s) can read the frequency at various times and include such information in the first data set. The data acquisition system (s) can send the first set of data to the computer system.
    The computer system may be configured to identify a plurality of signal pulses based, at least in part, on the first set of data. The pulses may be associated with the component when it passes the data acquisition system (s). Smaller pulses found in the signal may be associated with noise in the signal that may be created as a result of other elements (eg, screws) passing the data acquisition system (s). The computer system can calculate statistics for the pulses associated with the component. For example, the computer system may calculate a maximum, minimum, and / or average associated with one or more of the pulses. The computer system can identify a threshold based, at least in part, on one or more of the pulses. In some implementations, the threshold may be associated with a percentage of one or more peaks (e.g., maximums) of one or more of the pulses.
    The threshold can be used by the computer system to distinguish the pulses associated with the noise component. For example, the computer system may be configured to identify one or more of the plurality of pulses that are above the threshold. The pulse (s) above the threshold may be, for example, the one (s) associated with the component, while the smaller impulses below the threshold may be associated with a noise. of the detected signal.
    The computer system can identify a phase reference point for each of the pulses associated with the component (e.g., pulses above the threshold). Each phase reference point may be indicative of a phase position of the component relative to the data acquisition system (s) at a respective time point. For example, a phase reference point may be indicative of a point in time when the rotating shaft moves to the data acquisition system (s) (for example, a tachometer) at a point in time. move away from the data acquisition system (s). The phase reference point may be a point of reference at which the data acquisition system (s) is very confident of the phase position of the component.
    In some implementations, the computer system may determine a phase reference point for each pulse (associated with the component) by identifying a local crossover of the zero line for each pulse and performing interpolation for each local crossover of the line. from scratch. For example, a pulse may be associated with stable regions on any side of the pulse. Stable regions may be associated with one or more time period (s) during which the signal does not vary significantly in amplitude. This may be, for example, a lack of a significant portion of the component passing the data acquisition system (s) during these periods of time. The computer system may determine a local crossover of the zero line for a pulse based, at least in part, on the stable regions. For example, the local crossover of the zero line may be the point in time where the signal crosses the average associated with the pulse, between the stable regions.
    The computer system can identify a phase reference point for each pulse associated with the component based, at least in part, on a two or more point interpolation associated with the local crossing of the zero line. For example, the two or more points may include a first point associated with the local crossing of the zero line and a second point associated with the local crossing of the zero line. The first point may be indicative of a final reading of the data acquisition system (s) when the component (for example, a rotating shaft) moves towards the acquisition system (s). data. The second point may be indicative of an initial reading of the data acquisition system (s) when the component moves away from the data acquisition system (s). The computer system can interpolate between the first point and the second point. The computer system can identify the phase reference point based, at least in part, from which the interpolation of the first and second points intersects the pulse average. Such interpolation can be repeated for each of the pulses associated with the component to identify a plurality of phase reference points.
    The computer system may generate a second data series including the plurality of phase reference points. In addition, the computer system can generate a model based, at least in part, on the plurality of phase reference points. In some implementations, the model may be dependent, at least in part, on a curve match to the second data series. In this way, the model can be indicative of the phase position of the component with respect to the data acquisition system (s) at any time point in the measurement window (for example, the period of time which the data acquisition system controls and / or collects data associated with the component).
    The computer system may be configured to determine the phase position of the component at one or more time points based, at least in part, on the model. By knowing the position of the component at any given moment, the computer system can better determine the existence of an anomaly of the component. For example, this would allow the computer system to perform a synchronous analysis to determine the existence of an anomaly of the rotating shaft. The anomaly may include, for example, a crack, defect, defect, etc. which can come from fatigue, damage, cavitation, damage during transport, manufacturing defect, growth over time, etc.
    The systems and methods according to exemplary aspects of the present invention more precisely determine the phase position of a component of a mechanical system, such as an aircraft, a train, a wind turbine, etc. More particularly, the systems and methods can generate a model that allows the determination of the phase position of the component at any given time in a measurement window. As a result, systems and methods can enable more accurate analysis of data from variable speed components. In this way, systems and methods according to exemplary aspects of the present invention have a technical effect of producing earlier indications of an incipient anomaly and reducing false alarm rates, which can lead to reduced maintenance. unplanned and improved system availability. Other objects, features and advantages of the invention will become apparent on reading the following description, given solely by way of nonlimiting example, and with reference to the appended drawings, in which: FIG. 1 represents an example system according to one embodiment of the present invention; FIG. 2 shows an example of a data series according to an embodiment of the present invention; FIG. 3 is an example of a data series according to another embodiment of the present invention; FIG. 4 is an example of a data series according to another embodiment of the present invention; FIG. Figure 5 shows an exemplary signal pulse according to an embodiment of the present invention; FIG. Figure 6 shows an example of a data series according to an embodiment of the present invention; FIG. 7 is a schematic diagram of an exemplary method for determining an aircraft component phase position in a mechanical system according to an embodiment of the present invention; and FIG. 8 shows an exemplary system according to an embodiment of the present invention.
    FIG. 1 shows an example of system 100 according to an embodiment of the present invention. As shown, the system 100 may include an aircraft 110 having one or more engine (s) 112, a fuselage 114, a computer system 116, and one or more data acquisition system (s) 119. While the present disclosure is described with reference to the aircraft 110, this is merely to serve as an example and does not present a limitation. For example, the computer system 116, the data acquisition system (s) 119, and / or any other components / devices described herein may be associated with other types of mechanical systems (e.g. with moving mechanical components and / or variable speed machines), such as automobiles, trains, wind turbines, etc. to determine the phase position of a component in such types of systems without departing from the scope of the present invention of the present invention.
    As illustrated in FIG. 1, the computer system 116 may include one or more computer device (s) 117 which may be associated with, for example, an avionics system. The computer device (s) 117 may include various components to perform various operations and functions. For example, and as further described herein, the computer device (s) 117 may include one or more processor (s) and one or more memory device (s). The one or more memory device (s) can store instructions that when executed by one or more processor (s) cause the one or more processor (s) to perform the operations and functions described here. In some implementations, the one or more computer device (s) 117 can be included in the aircraft 110. The computer device (s) 117 can be used be coupled to a variety of systems (e.g., data acquisition system (s) 119) on the aircraft 110 over a network 118. The network 118 may include a data bus or a combination of links wired and / or wireless communication.
    In certain implementations, the computer system 116 and / or one or more of the computer device (s) 117 may be remote from the aircraft 110. For example, the system computer 116 and / or one or more of the computer device (s) 117 may be associated with a remote computer system, which may be configured to communicate with the aircraft 110 (and or the systems associated with it) via one or more communication networks. In such implementations, the computer system 116 and / or one or more of the computer device (s) 117 may be associated with a platform in flight and / or a computer system on the ground.
    The data acquisition system (s) 119 may be configured to control and collect data relating to one or more components of the aircraft 110. The system (s) for Data acquisition 119 may include a tachometer, magnetic tachometer, optical tachometer, sensor, and / or any other suitable type of measuring device. In some implementations, the data acquisition system (s) 119 may be associated with a mechanical component, such as a rotating component with a variable speed of rotation (for example, a rotational speed that varies with time), variable vibration, etc. for example, the data acquisition system (s) 119 may be associated with a component 122 of the motor (s) 112, a component of a unit auxiliary power, etc.
    FIG. 2 shows an example of a first data series 200 associated with the component 122 according to an embodiment of the present invention. The first data series 200 may be indicative of a signal 202 associated with the component 122, detected by the data acquisition system (s) 119. The signal 202 may be associated with the vibration, the phase position etc. associated with the component 122. For example, the data acquisition system (s) 119 (for example, a magnetic tachometer) may include a voltage sensor that measures the voltage pulses associated with the component 122. The voltage can be generated by an electric field that forms when component 122 moves. When the component 122 approaches the data acquisition system (s) 119, current flows in one direction and when the component 122 moves away from the data acquisition system (s). , the current changes direction. The data acquisition system (s) 119 may be configured to read the frequency with which the current changes direction at various times, as shown for example in FIG. 2. The data acquisition system (s) 119 may be configured to send the first set of data 200 to the computer device (s) 117. The computer device (s) 117 may be configured to receive the first set of data 200 from the associated data acquisition system (s) 119. component 122.
    The computer device (s) 117 may be configured to identify a plurality of pulses 204A-C of the signal 202 based, at least in part, on the first data set. 200. Pulses 204A-C may be associated with component 122 as it passes data acquisition system (s) 119. Smaller pulses (e.g., 206) may be associated with noise in signal 202 which is created as a result of other elements (e.g., screws) passing the data acquisition system (s) 119.
    The computer device (s) 117 may be configured to calculate various statistics associated with one or more of the 204A-C pulses. For example, as shown in FIG. 3, the computing devices may be configured to calculate a maximum 302, a minimum 304, and / or an average 306 associated with one or more of the 204A-C pulses. In some implementations, the maximum 302, the minimum 304, and / or the average 306 may be calculated based, at least in part, on one of the 204A-C pulse (s). In some implementations, these statistics may be calculated based, at least in part, on two or more of the 204A-C pulses.
    As shown in FIG. 4, the computer device (s) 117 may be configured to identify a threshold 402 based, at least in part, on one or more of the pulses 204A-C. The threshold 402 may be, for example, associated with a percentage of one or more peaks (e.g., maximums 302) of one or more of the 204A-C pulse (s). In some implementations, the threshold 402 may be associated with a percentage of a minimum 304.
    The threshold 402 may be used by the computer device (s) 117 to distinguish the pulse (s) 204A-C associated with the component 122 from the noise (for example, 206). For example, the computer device (s) 117 may be configured to identify one or more of the plurality of pulses 204A-C that are above the threshold 402. L (the) pulse (s) 204A-C which are above the threshold 402 may be, for example, that associated with the component 122. In some implementations, one or more smaller pulses (e.g., 206) below the threshold 402 may be associated with a noise of the signal 202.
    The computer device (s) 117 may be configured to identify a plurality of phase reference points based, at least in part, on the first data series 200. The phase reference point may be indicative of a phase position of the component 122 relative to the data acquisition system (s) 119 at a respective time point. For example, the phase reference point may be indicative of the time point where the component 122 moves from the movement to the data acquisition system (s) 119 to move away from the system (s). The phase reference point may be a reference point at which the data acquisition system (s) 119 is (are) highly confident of the phase position of the component 122. .
    The computer device (s) 117 may be configured to determine a phase reference point for each pulse 204A-C based, at least in part, on a local crossover. of the zero line associated with the respective pulse. The computer device (s) 117 may be configured to determine a local cross-reference of the zero line for each of the one or more pulse (s) 204A-C which is above the threshold 402 depending, at least in part, on the first data series 200. For example, FIG. 5 shows an enlarged view of the pulse 204A, the first of the pulses that is above the threshold 402. The pulse 204A can be associated with stable regions 502 and 504 on each side of the pulse 204A. The stable regions 502 and 504 can be associated with one or more periods of time when the signal 202 does not vary significantly in amplitude, for example due to a lack of a significant part of the component 122 passing through the system (s) (s) data acquisition 119 during these periods of time. The computer device (s) 117 may be configured to determine a local cross of the zero line 506 for the pulse 204A. Local crossing of zero line 506 may be the time point where pulse 204A intersects the mean 306 between stable regions 502 and 504.
    The computer device (s) 117 can be configured to identify a phase reference point for each of the one or more 204A-C pulses based on, at least part, of an interpolation of two or more points associated with the local cross of the zero line 506. For example, as shown in FIG. 5, the two or more points may include a first point 508A associated with the local crossing of the zero line 506 and a second point 508B associated with the local crossing of the zero line 506. The first point 508A may be indicative of a reading of the data acquisition system (s) 119 when the component 122 moves towards the data acquisition system (s) 119. The second point 508B may be indicative of an initial reading of the data acquisition system (s) 119. (of) data acquisition system (s) 119 when the component moves away from the data acquisition system (s) 119. The computer device (s) 117 (few) ) t be configured to interpolate between the first point 508A and the second point 508B. The computer device (s) 117 may be configured to identify the phase reference point 510A associated with the pulse 204A based, at least in part, from which the Interpolation of the first and second points 508A and 508B intersects the average 306. The computer device (s) 117 may be configured to repeat these operations for each of the 204B-C pulses. In this manner, the computer device (s) 117 can identify a 510A-C phase reference point for each of one or more pulses 204A-C associated with the component 122 (for example, of the motor 112) based, at least in part, on the first data series 200.
    The computer device (s) 117 may be configured to generate a second data series including the plurality of 510A-C phase reference points. For example, FIG. 6 depicts a second data series 600 each including 510A-C phase reference points identified using the above-mentioned operations. The computer device (s) 117 may be configured to generate a model 602 based, at least in part, on the plurality of phase reference points 510A-C. The model 602 may be, for example, dependent, at least in part, on a curve match to the second data series 600 comprising the plurality of phase reference points 510A-C, as shown in FIG. 6. The model 602 may be indicative of the phase position of the component 122 relative to the data acquisition system (s) 119 at a plurality of times (to ... tn).
    The computer device (s) 117 may be configured to determine the phase position of the component 122 at one or more time points (to. least in part, of the plurality of 510A-C phase reference points. For example, the computer device (s) 117 can be configured to determine the phase position of the component 122 at one or more time points (to ... tn). function, at least in part, of the model 602. this may enable the computer device (s) 117 to determine the phase position of the component at any given moment in a measurement window in which the The data acquisition system (s) 119 collect data associated with the component 122. In some implementations, this may be the time range (to ... tn) shown in the figures. Consequently, the computer device (s) 117 can better determine the existence of an anomaly of the component 122. For example, this would allow the computer device (s) ) 117 to perform a synchronous analysis based. at least in part, the phase position of the component 122 at one or more time points to determine the existence of an abnormality 150 (e.g., as shown in FIG.1) of the component 122. The anomaly 150 may include, for example, a crack, defect, defect, etc. which can come from fatigue, damage, cavitation, damage during transport, manufacturing defect, growth over time, etc.
    The computer device (s) 117 can be configured to perform a maintenance action. For example, the computer device (s) 117 can be configured to perform a maintenance action associated with the component 122 when the existence of the anomaly 150 is determined. For example, returning to FIG. 1, when the computer device (s) 117 determines that an abnormality 150 (for example, a fatigue crack) exists in component 122 (for example, a rotating shaft) computer device (s) 117 can be configured to perform a maintenance action 120, such as sending a message via the network 130 to a remote computer system 140. The message can describe the anomaly 150 , request the maintenance of component 122, etc. The remote computer system 140 may be associated with an entity that would perform such maintenance of the component 122. In this way, the computer device (s) 117 can eventually respond to an anomaly. 150 associated with the component 122 depending, at least in part, of the first data series 200, the phase reference points 510A-C, the model 602, etc.
    FIG. 7 is a schematic diagram of an exemplary method 700 for determining a component phase position in a mechanical system according to an embodiment of the present invention. FIG. 7 may be implemented by one or more computer device (s), such as the computer device (s) 117 shown in FIGS. 1 and 8. One or more step (s) of the method 700 can be performed while the aircraft 110 is in flight. In addition, FIG. 7 represents steps performed in a particular order for purposes of illustration and description. Those skilled in the art, using the descriptions provided herein, will understand that the various steps of any of the methods described herein can be modified, adapted, expanded, rearranged and / or omitted in various ways without departing from the field of the present invention.
    In (702), method 700 may include receiving a first set of data from a data acquisition system associated with a component of a mechanical system. For example, computer device (s) 117 can receive a first set of data 200 from the data acquisition system (s) associated with component 122 of the aircraft 110. As described herein, the first data series 200 may be indicative of a signal 202 associated with the component 122 and detected by the data acquisition system (s) 119. For example, the first set of data 200 may be a signal 202 detected by a magnetic tachometer associated with a rotating component, wherein a rotational speed of the component varies with time. Signal 202 may be indicative of a frequency relative to time.
    In (704), method 700 may include identifying a plurality of phase reference points based, at least in part, on the first data series. For example, the computer device (s) 117 can identify a plurality of phase reference points 510A-C based, at least in part, on the first data series 200. Each The phase reference point 510A-C may be indicative of a component 192's ph position relative to the data acquisition system (s) 119 at a respective time point.
    For example, the computer device (s) 117 can identify a plurality of pulses 204A-C of the signal 202 as a function, at least in part, of the first data series 200. Using a threshold 402, the computer device (s) 117 can filter the desired pulses of the noise. In certain implementations, the computer device (s) 119 can determine the threshold 402 as a function, at least in part, of the pulse (s) 204A-C, such that the threshold 402 may be associated with a percentage of one or more peaks (e.g., a maximum 302) of the 204A-C pulse (s). The computer device (s) 117 may identify one or more of the plurality of pulses 204A-C which are above the threshold 402. One or more pulses 204A-C may be present. above the threshold 402 may be indicative of the pulse (s) 204A-C associated with the component 122 and the one or more pulse (s) 206 below the threshold may be indicative of the noise associated with the signal 202. By way of example, the pulse (s) 204A-C above the threshold 402 can be associated with a rotating shaft when it passes the system (s) of data acquisition 119 (for example, a tachometer), while the pulse (s) 206 below the threshold can be associated with other elements (for example, screws) .
    The computer device (s) 117 may (f) determine a local cross-reference of the zero line for each of the one or more pulse (s) 204A-C which is above the threshold 402 based on , at least in part, of the first data series 200.
    For example, the computer device (s) 117 can identify (for each of the one or more pulse (s) 204A-C above the threshold 402) a first point (for example, 508A) associated with the local crossing of the zero line (eg, 506) and a second point (eg, 508B) associated with the local crossing of the zero line. The first point (e.g., 508A) may be indicative of a final data point recorded as component 122 moves to data acquisition system 119. The second point (e.g., 508B) may be indicative of an initial data point recorded when the component 122 moves away from the data acquisition system 119. Therefore, as described above, the computer device (s) 117 can identify the phase reference point 510A-C for each of one or more pulses 204A-C (above the threshold 402) based, at least in part, on an interpolation of the respective first and second points for the local crossover associated with the respective pulse.
    In (706), method 700 may include generating a model based, at least in part, on the plurality of 510A-C phase reference points. For example, the computer device (s) 117 may generate a model 602 based, at least in part, on the plurality of phase reference points 510A-C. To do this, in some implementations, the computer device (s) 117 may generate a second data series 600 including the plurality of 510A-C phase reference points. The computer device (s) 117 can generate the model 602 based, at least in part, on a curve match to the second data series 600. Therefore, the model 602 may be indicative of the phase position of the component 122 relative to the data acquisition system 119 at a plurality of times (to ... tn). In addition, the model 602 may be indicative of the phase position of the component 122 at times that would not generally be provided by the first data series 200 and / or the data acquisition system 119. In particular, the model 602 may allow the computer device (s) 117 to determine the phase position of the component 122 (for example, with a variable rotational speed) at any given time in a measurement window.
    In (708), the method 700 may include determining the phase position of the component at one or more time points depending, at least in part, on the model. For example, the computer device (s) 117 can determine the phase position of the component 122 at one or more time points (for example, to ... tn) as a function of less than a portion of the 602 model. By way of example, the model 602 may be indicative of the phase position of a rotating component of the motor 112 at a plurality of times. The computer device (s) 117 can select any time in the measurement window (for example, to ... tn) and use the model 602 to determine the phase position of the rotating component at this time. Therefore, the computer device (s) 117 can determine the relative phase shift between the signal 202 captured by the data acquisition system (s) 119 (e.g. , a tachometer) and other time series data that vary as a function of the phase.
    In (710), method 700 may include determining an existence of an abnormality of the component. For example, the computer device (s) 117 can determine an existence of an anomaly 150 of the component 122 as a function, at least in part, of the phase position of the component 122 at one end. or several time points (for example, to ... tn). In certain implementations, the computer device (s) 117 can perform a synchronous analysis based, at least in part, on the phase position of the component 122 at one or more points of the device. time (e.g., to ... tn) to determine the existence of the anomaly 150 of the component 122. This may be based, at least in part, on an analysis of the position of the component 122 with respect to x) system (s) data acquisition 119 and / or a change of this position over time.
    In (712), the method 700 may include performing a maintenance action associated with the component. For example, the computer device (s) 117 can perform a maintenance action 120 associated with the component 122 when the existence of the anomaly 150 is determined. For example, when the computer device (s) 117 determines (s) that the abnormality 150 (for example, a fatigue crack) exists in the component 122 (e.g. rotating shaft) the computer device (s) 117 can perform a maintenance action 120, such as sending a message via the network 130 to a remote computer system 140. The message can describe the anomaly 150, request the maintenance of component 122, etc. The remote computer system 140 may be associated with an entity that would perform such maintenance of the component 122. In this way, the computer device (s) 117 can eventually respond to an anomaly. 150 associated with the component 122 depending, at least in part, of the first data series 200, the phase reference points 510A-C, the model 602, etc.
    FIG. 8 shows an exemplary system 800 according to exemplary embodiments of the present invention. The system 800 may include the computer system 116 and the data acquisition system (s) 119, which may be configured to communicate over a network 118 (not shown). In some implementations, the system may include the remote computer system 140. The remote computer system 140 may be located at a remote location that is separate and remote from the computer system 116. For example, the remote computer system 140 may be associated with a ground system of a maintenance entity. The computer system 116 and the remote computer system 140 may be configured to communicate via the communication networks 130 (not shown).
    The computer system 116 may include one or more computer device (s) 117. The computer device (s) 117 may include one or more processor (s) 117A and one or more memory device (s) 117B. The one or more processor (s) 117A may include any suitable processing device, such as a microprocessor, a microcontroller, an integrated circuit, a logic device, and / or other suitable processing device. The one or more memory device (s) 117B may include one or more computer readable media, including, but not limited to, non-transient readable media, RAMs, ROMs, hard drives, memories flash, and / or other memory devices.
    The one or more memory device (s) 117B can store information accessible by one or more processor (s) 117A, including computer readable instructions 117C that can be executed by one or more processor (s) 117A. The instructions 117C can be any series of instructions that when executed by one or more processor (s) 117A, cause the one or more processor (s) 117A to perform operations. In some embodiments, instructions 117C may be executed by one or more processor (s) 117A to cause one or more processor (s) 117A to perform operations, such as any of the operations and functions. for which the computer system 116 and / or the computer device (s) 117 are configured, the operations for determining a component phase position (for example, method 700), as described herein, and / or any other operations or functions of the one or more computer device (s) 117. The instructions 117C may be written in software in any suitable programming language or may be implemented in hardware. In addition, and / or alternatively, the instructions 117C may be executed in a logically-run and / or virtually-segregated thread processor (s) 117A. Memory device (s) 117B may further store 117D data to which processors 117A may access. For example, the data 117D may include the first data series 200, the second data series 600, the model 602, the phase reference points, and / or any other data and / or information described herein.
    The computer device (s) 117 may also include a network interface 117E used to communicate, for example, with the other components of the system 800 (for example, via the network 118, the network 130). ). The network interface 117E may include any suitable components for interfacing with one or more network (s), including, for example, transmitters, receivers, ports, controllers, antennas, and / or other components. suitable.
    The technology described here refers to computer systems and actions taken by and information sent to and from computer systems. Those skilled in the art will recognize that the flexibility of the computer systems permits a wide variety of configurations, combinations, and divisions of tasks and functionalities between and among the components. For example, processes described herein may be implemented using a single computing device or multiple computing devices operating in combination. Databases, memory, instructions, and applications can be implemented on a single system or distributed between multiple systems. Distributed components can operate sequentially or in parallel.
    Although specific features of various embodiments may be shown in some drawings and not in others, this is for convenience only. According to the principles of the present invention, any feature of a drawing may be referenced and / or claimed in combination with any feature of any other drawing.
    This written description uses examples to describe the invention, including the best embodiment, and also to enable any person skilled in the art to practice the invention, including the fabrication and use of any devices or systems and realizing any embedded processes. The patentable domain of the invention is defined by the claims, and may include other examples which will be apparent to those skilled in the art. Such other examples are included in the scope of the claims if they include structural elements that do not differ from the literal language of the claims, or include equivalent structural elements with insensitive differences with the literal languages of the claims.
    权利要求:
    Claims (15)
    [1" id="c-fr-0001]
    A computer implemented method for determining component phase position in a mechanical system, comprising: a step of receiving, by one or more computing devices (117), a first data set (200) from a system data acquisition device (119) associated with a component (122), wherein the first data series (200) is indicative of a signal (202) detected by the data acquisition system (119); an identification step, by one or more computing devices (117), of a plurality of phase reference points (510A-C) based at least in part on the first data series (200), wherein each phase reference point (510A-C) is indicative of a phase position of the component (122) relative to the data acquisition system (119) at a respective time point; a step of generating, by the one or more computing devices (117), a model (602) based at least in part on the plurality of phase reference points (510A-C), wherein the model (602) ) is indicative of the phase position of the component (122) relative to the data acquisition system (119) at a plurality of times; and a step of determining, by the one or more computing devices (117), the phase position of the component (122) at one or more time points based at least in part on the model (602).
    [2" id="c-fr-0002]
    The method of claim 1, wherein the component (122) is a rotating component, and wherein a rotational speed of the component (122) varies with time.
    [3" id="c-fr-0003]
    The method of claim 1, wherein the one or more computing devices (117) determine an existence of an abnormality (150) of the component (122) based at least in part on the phase position of the component (122) at one or more time points.
    [4" id="c-fr-0004]
    The method of claim 3, wherein the step of determining, by the one or more computing devices (117), the existence of the component (122) anomaly (150) based at least in part on the phase position of the component (122) at one or more time points comprises: a step of performing, by the one or more computing devices (117), a synchronous analysis based, at least in part, on the phase position of the component (122) at one or more time points to determine the existence of the abnormality (150) of the component (122).
    [5" id="c-fr-0005]
    The method of claim 3, wherein one or more computing devices (117) perform a maintenance action (120) associated with the component (122) when the existence of the abnormality (150) is determined. .
    [6" id="c-fr-0006]
    The method of claim 1, wherein the step of generating, by the one or more computing devices (117), the model (602) based at least in part on the plurality of phase reference points (510A). C) comprises: a step of generating, by the one or more computing devices (117), a second data series (600) comprising the plurality of phase reference points (510A-C); and a step of generating, by the one or more computing devices (117), the model (602) based at least in part on a curve match to the second data series (600).
    [7" id="c-fr-0007]
    The method of claim 1, wherein the identification, by one or more computing devices (117), of the plurality of phase reference points (510A-C) based at least in part on the first data series. (200) comprises: identifying, by the one or more computing devices (117), a plurality of pulses (204A-C) of the signal (202) based at least in part on the first data series (200) ; determining, by one or more computing devices (117), a threshold (402) based at least in part on the pulses (204A-C), wherein the threshold (402) is associated with a percentage of one or more pulse peaks (204A-C); identifying, by the one or more computing devices (117), one or more of the plurality of pulses (204A-C) that are above the threshold (402); determining, by one or more computing devices (117), a local crossing of the zero line (506) for each of one or more pulses (204A-C) which are above the threshold (402) in function with the less in part from the first set of data (200); to identify, by the one or more computing devices (117), for each of the one or more pulses (204A-C) above the threshold (402), a first point (508A) associated with the local crossing of the zero (506) and a second point (508B) associated with the local cross of the zero line (506), wherein the first point (508A) is indicative of a final data point recorded when the component (122) moves to the data acquisition system (119), and wherein the second point (508B) is indicative of an initial data point recorded when the component (122) moves away from the data acquisition system (119) ; and identifying, by one or more computing devices (117), the phase reference point (510A-C) for each of the one or more pulses (204A-C) based at least in part on an interpolation of the respective first and second points (504A, 508B).
    [8" id="c-fr-0008]
    The method of claim 7, wherein the one or more pulses (204A-C) above the threshold (402) are indicative of the pulses (204A-C) associated with the component (122) and wherein one or more pulses (206) below the threshold (402) are indicative of a noise associated with the signal (202).
    [9" id="c-fr-0009]
    Computer system for determining a component phase position, the system comprising one or more processors (117A) and one or more memory devices (117B), the one or more memory devices (117B) storing instructions (117C) which when executed by one or more processors (117A) causes the one or more processors (117A) to perform operations, the operations comprising: receiving a first data set (200) from a data acquisition system (119) associated with a component (122), wherein the first data series (200) is indicative of a signal (202) detected by the data acquisition system (119); identifying a plurality of phase reference points (510A-C) based at least in part on the first data series (200), wherein each phase reference point (510A-C) is indicative of a the phase position of the component (122) relative to the data acquisition system (119) at a respective time point; determining the phase position of the component (122) at one or more time points as a function at least in part of the plurality of phase reference points (510A-C).
    [10" id="c-fr-0010]
    The system of claim 9, wherein the operations further include: determining an existence of an abnormality (150) of the component (122) based at least in part on the phase position of the component (122) at a or several points of time.
    [11" id="c-fr-0011]
    The system of claim 10, wherein determining the existence of the anomaly (150) of the component (122) based at least in part on the phase position of the component (122) at one or more time points comprises ; performing, by the one or more computing devices (117), synchronous analysis according to the phase position of the component (122) at one or more time points.
    [12" id="c-fr-0012]
    The system of claim 9, wherein determining the phase position of the component (122) at one or more time points as a function at least in part of the plurality of phase reference points (510A-C) comprises: generating a model (602) based at least in part on the plurality of phase reference points (510A-C), wherein the model (602) is indicative of the phase position of the component (122) relative to the system acquiring data (119) at a plurality of times; and determining the phase position of the component (122) at one or more time points based at least in part on the model (602).
    [13" id="c-fr-0013]
    The system of claim 12, wherein the model (602) is function at least in part of a curve match to a second data series (600) comprising the plurality of phase reference points (510A-C). .
    [14" id="c-fr-0014]
    The system of claim 9, wherein identifying a plurality of phase reference points (510A-C) based at least in part on the first data series (200) comprises: identifying a plurality of pulses ( 204A-C) of the signal (202) which are above a threshold (402), wherein the plurality of pulses (204A-C) are associated with the component (122); determining a local crossing of the zero line (506) for each of one or more pulses (204A-C) that are above the threshold (402) based at least in part on the first data series (200) ; and identifying a phase reference point (510A-C) for each of one or more pulses (204A-C) based at least in part on interpolation of two or more points (508A, 508B) associated with the crossing local of the zero line (506).
    [15" id="c-fr-0015]
    The system of claim 9, wherein the two or more points (508A, 508B) associated with the local zero crossing (506) include a first point (508A) associated with the local cross of the zero line (506) and a second point (508B) associated with the local crossing of the zero line (506), wherein the first point (508A) is indicative of a final reading of the data acquisition system (119) when the component (122) is moves to the data acquisition system (119), and wherein the second point (508B) is indicative of an initial reading of the data acquisition system (119) when the component (122) moves away from the system data acquisition (119).
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    同族专利:
    公开号 | 公开日
    GB2551112A|2017-12-13|
    JP2017211382A|2017-11-30|
    GB201609154D0|2016-07-06|
    US20170341773A1|2017-11-30|
    CA2967612C|2018-11-06|
    US11161624B2|2021-11-02|
    CA2967612A1|2017-11-25|
    BR102017010833A2|2018-05-02|
    FR3051926B1|2021-07-16|
    GB2551112B|2020-04-15|
    CN107434049B|2020-10-09|
    CN107434049A|2017-12-05|
    JP6458080B2|2019-01-23|
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    法律状态:
    2018-05-25| PLFP| Fee payment|Year of fee payment: 2 |
    2019-04-19| PLFP| Fee payment|Year of fee payment: 3 |
    2020-04-22| PLFP| Fee payment|Year of fee payment: 4 |
    2020-07-03| PLSC| Publication of the preliminary search report|Effective date: 20200703 |
    2021-04-21| PLFP| Fee payment|Year of fee payment: 5 |
    优先权:
    申请号 | 申请日 | 专利标题
    GB1609154.8A|GB2551112B|2016-05-25|2016-05-25|Aircraft component monitoring system|
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