• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
  • 引用文献
  • 法律状态
  • 优先权
    • 专利摘要:
    The invention relates to a method for detecting mechanical defects in a rotary machine in which measuring signals from vibration sensors equipping non-rotating components of the machine are acquired (ET1) during several cycles of operation of the machine. the measuring signals by speed range, (ETS2) is determined, for each vibration sensor, a distribution of the energy levels of the measurement signals of the same speed range in given angular and frequency bands, is generated ( ETS3) a current vibratory signature by speed range for each vibration sensor from the energy level distribution thus determined and comparing (ETS4) the current vibratory signature for a given speed range and a vibration sensor given to a reference vibratory signature established for each vibration sensor in a faultless mode of the rotating machine.
    公开号:FR3014502A1
    申请号:FR1362319
    申请日:2013-12-09
    公开日:2015-06-12
    发明作者:Mario Eltabach
    申请人:Centre Technique des Industries Mecaniques CETIM；
    IPC主号:
    专利说明:

    [0001] The present invention relates to the field of monitoring rotating machines with variable speed and relates in particular to a method for detecting mechanical defects in a rotating machine with variable speed. including, but not limited to, a wind turbine. A preferred field of application is the monitoring and diagnosis of mechanical defects in a wind turbine. More generally, the invention can also be applied to rotating machines with variable speed providing precise functionality on a production line, such as, for example, motors driving gears, positive displacement pumps, or else reciprocating machines. like compressors and air suppressors. Mechanical defects in these machines are often characterized by periodic phenomena related to the speed of rotation and a cycle of a rotating component of the machine. Note, however, that with regard more specifically to wind turbines, the load and the speed of rotation of the various mechanical components are two relatively variable quantities according to parameters external to the kinematic chain of the machine itself, such as the direction and speed of the machines. winds, which complicates the detection of defects. However, concerning the maintenance of wind turbines, the detection of mechanical faults and their diagnosis play an essential industrial role, because they contribute, by a fast and early detection, to optimize the production times especially for operations where the untimely shutdown of a wind turbine has the potential to impact production over a long period due to the long lead times required for certain mechanical parts such as the multiplier or bearings. Moreover, since large wind turbines are often very difficult to access (at sea or extremely high towers exceeding the height of 20 m), there is a great need for reducing maintenance and operating costs. wind turbines.
    [0002] Also, a problem that arises and that aims to solve the present invention, is to detect early, mechanical defects including a wind turbine, so as to predict failures of the various mechanical components of the wind turbine , facilitating the implementation of predictive maintenance, minimizing downtime caused by breakdowns and therefore maximizing productivity. In order to solve this problem, the present invention proposes a method for detecting mechanical defects in a rotating machine with variable speed provided with rotating and non-rotating components, in which vibration sensors are provided respectively installed on each non-rotating component of the machine urged by a rotating component of the machine, said method being characterized in that measurement signals from each vibration sensor are acquired during a set number of cycles of operation of a rotating component of the machine; the measurement signals acquired for each vibration sensor by rotational speed range of the rotating component according to a plurality of predefined rotational speed ranges, for each vibration sensor, a distribution of energy levels of the measurement signals is determined the same speed range in angular and frequency bands d based on a representation of the measurement signals of the same speed range as a function of the frequency and the rotation angle of the cycle of the rotating component, a current vibratory signature is generated per speed range for each sensor. from the energy level distribution thus determined, the current vibratory signature for a given speed range and a given vibration sensor is compared to a reference vibratory signature established for each vibration sensor in a defect free mode. the rotating machine, and there is the presence of a defect if the current vibratory signature generated for a given vibration sensor differs from the reference vibratory signature. As stated in the preamble, wind turbines have a complex vibratory behavior due in particular to the many transient events that occur during operation, which makes it at first particularly difficult to consider the consideration of vibrations to perform a reliable diagnosis as to the manifestation of an anomaly, potential cause of damage or even failure.
    [0003] Surprisingly, it has actually been found that from measurement signals from vibration sensors installed on the various non-rotating components of the machine urged by rotating components, it is possible to extract a vibration signature for each sensor. and for each range of speeds from a presentation of the measurement signals as a function of the rotation angle in a cycle of a rotating component of the wind turbine and the frequency, which is in itself sufficiently relevant to allow continuously characterize the operating status of the various mechanical components of the machine and thus make a decision as to raise an alert concerning this or that component.
    [0004] Thus, by analyzing the difference between the current vibratory signature for a given speed range and a reference signature for this speed range for each of the vibration sensors installed on said non-rotating components of the machine, said signatures being based on a distribution of the signal energy along the two angle and frequency axes by means of an angle-frequency presentation of the signal, the method of the invention makes it possible not only to be able to detect a drift with respect to a state of normal operation of the machine, but also to be able to locate the faulty component and identify the type of fault. Preferably, the method may comprise a step of validating the acquisition of the measurement signals, consisting in verifying that the measurement signals are acquired at a substantially constant speed in each predetermined speed range and at a level of load of the machine. substantially constant. According to a preferred embodiment, the acquisition of the measurement signals from the vibration sensors is performed according to a time sampling and the measurement signals in the angular range are resampled using angular position information provided by a signal of reference round-round for the duration of the acquisition of the measurement signals, and an angle-frequency transformation is applied to the signals resampled in angular to obtain the representation of the signals as a function of the frequency and the angle of rotation. Such angular resampling of the measurement signals advantageously makes it possible to synchronize the measurement signals with respect to the speed fluctuations. Preferably, the resampling of a measurement signal in the angular domain may comprise the construction of an angular resampling gate, an evaluation of the time instants corresponding to the angular resampling gate and a determination of the values. of the signal resampled angularly from the time sampling values of the measurement signal using the resampling angular grid. Advantageously, the angle-frequency transformation applied to the resampled angular signals to obtain the representation of the signal as a function of the frequency and the angle of rotation is achieved by the synchronous Wigner-Ville transformation. Alternatively, the angle-frequency transformation applied to the resampled angular signals to obtain the representation of the signal as a function of frequency and rotation angle can be achieved by the synchronous spectrogram transformation. Preferably, the distribution of the energy levels according to the frequency and the angle of rotation is extracted, a plurality of monitoring indicators corresponding to the energy level of the signals in given angular and frequency bands corresponding to the appearance of a periodic phenomenon resulting from the cycle of the rotating component, and the current vibratory signature is constituted by the current values of the monitoring indicators thus extracted. Each of these monitoring indicators advantageously makes it possible to quantify the energy of a particular periodic phenomenon related to the cycle of a rotating component of the machine appearing in an angular band and in a given frequency band. Preferably, the values of the current monitoring indicators are compared with pre-established default detection thresholds as a function of reference values of the monitoring indicators forming the reference vibratory signature. The default detection thresholds are preferably set as a percentage of the reference values of the monitoring indicators.
    [0005] Advantageously, the finding of the presence of a fault can trigger the transmission to a remote operator terminal, wired or wireless, of a fault detection message. There is further provided a computer program comprising instructions for performing the method described above. This program can be implemented in a processor embedded in a rotating machine, for example a microcontroller, a DSP (the "Digital Signal Processor") or other. It is also proposed a device for detecting mechanical defects in a rotating machine with variable speed provided with rotating and non-rotating components in which each non-rotating component urged by a rotating component of the machine is equipped with a vibration sensor, said device comprising hardware and / or software means arranged to implement the method described above. This device can for example be integrated in, or include, one or more processors. It is further proposed a rotating machine with variable speed provided with rotating and non-rotating components, comprising a plurality of vibration sensors equipping the various non-rotating components of the machine stressed by rotating components of the machine and a detection device described herein. -above. Other features and advantages of the invention will appear on reading the following description of a particular embodiment of the invention, given by way of indication but not limitation, with reference to the accompanying drawings in which: Figure 1 is a diagram of a flowchart illustrating the operation of the method according to the invention. The aim of the invention is to monitor a rotating machine with a variable speed, in particular but not exclusively a wind turbine, by vibration analysis, in particular for the detection of several types of mechanical faults frequently identified in relation to the rotating components of the machine. machine, such as multipliers, bearings, shafts, etc., which are usually the source of the abnormal forces applied to non-rotating components and the cause of the untimely shutdown of the machine. One distinguishes particular rotating forces, which are related to the rotation of a shaft and which are generated for example by an unbalance defect or misalignment. These efforts also include the directional forces, radial or axial, related to a stress on a shaft, generated for example by meshing in a gear. Also, the vibration measurements required to implement the monitoring of the machine by vibratory analysis, will be performed according to the invention to the right of the non-rotating components of the machine, such as bearings, which are the fixed parts of the machine the more directly in relation to the rotating components of the machine. Typically, one equips each of these different non-rotating components of the machine stressed by the rotating components of a vibration sensor, for example of the piezoelectric accelerometer type. This type of sensor is advantageously usable over wide frequency bands and also has excellent linearity in its bandwidth.
    [0006] As will be seen in more detail below, the detection method according to the invention is based on an analysis of the vibrations of the machine according to a first mode, called learning mode, during which a signature is gradually formed. vibratory reference for each vibration sensor and for each speed range for the machine operating in faultless mode, and in a second mode, said monitoring mode, during which the operation of the machine is monitored from a vibratory signature current generated by speed range for each vibration sensor in this machine monitoring mode. According to the invention, the monitoring of the machine is based on an analysis of the difference between the current vibratory signature and the predetermined reference vibratory signature in faultless learning mode. To carry out this analysis, a preliminary configuration step is necessary to define configuration parameters or monitoring rules to be applied for the acquisition of measurement signals from the vibration sensors. To do this, the device for implementing the method of the invention, which integrates microcontroller / processor type digital processing means, for example, is in wired or wireless communication with a remote operator terminal for transmitting these parameters. configuration. As illustrated in FIG. 1, the ETO configuration step is implemented at each reception in a CDO step of a new configuration, using the wired or wireless communication means. In particular, the configuration parameters necessary for the smooth running of the detection method include a parameter defining the periodicity of acquisition of the measurement signals from the vibration sensors fitted to the various non-rotating components of the wind turbine. This parameter makes it possible in particular to define the minimum period to respect between two acquisitions. This periodicity is applied in learning mode and in monitoring mode. The configuration parameters also include a setting parameter of operating speed ranges of the machine, for discriminating the measurement signals acquired according to the configured speed ranges, as well as a parameter defining an allowed deviation in each configured speed range. . It will thus be ensured that any fluctuations in operating speed remain within the limits previously defined by virtue of this last parameter throughout the duration of a phase of acquisition of the measurement signals. The configuration parameters also include a parameter defining the number of cycles to be acquired, making it possible to define the length of the signals to be acquired. The configuration parameters also include a parameter for defining a number of records (ie files containing all the recorded signals) to be collected, making it possible to define the number of records to be saved for each speed range configured in learning mode. . Thus, in the learning mode, which will be detailed later with reference to the steps ETA1 to ETA3, all the different records collected for the different speed ranges will be saved so as to constitute a deposit of reference data, which will be used to form the reference vibratory signatures.
    [0007] The configuration parameters further include a setting parameter for the value of the allowed load for the machine, which makes it possible to define an allowable margin of load of the machine during the acquisition of the measurement signals. As will be seen in more detail later, this parameter is a useful parameter for validating the acquisition of the measurement signals. With reference to FIG. 1, following the ETO configuration step, a step ET1 of the method according to the invention consists in acquiring, in the time domain, according to the predetermined configuration parameters in step ETO, the measurement signals from the vibration sensors installed on the various non-rotating components of the wind turbine. In this step ET1, a so-called top-turn reference signal is also acquired, for example in the form of a plurality of pulses per revolution of an encoder, representative of an absolute angular position of the slow-moving shaft. wind. As a variant, the so-called top tower reference signal can also be provided by a proximity sensor in the form of a single reference pulse corresponding, for example, to the detection of the passage of a reference singularity on the fast shaft of the wind turbine (electric generator shaft). During this step ET1, a signal is also acquired which provides the instantaneous charge of the wind turbine, for example the power generated by the electric generator of the wind turbine. During this step, the value of the instantaneous speed of the wind turbine is calculated in real time in order to check it continuously during the acquisitions. The sampling frequency of the acquired signals is for example of the order of a few tens of KHz.
    [0008] Then, a validation step CD1 of the acquisition of the measurement signals is implemented, consisting in verifying that the acquisition of the measurement signals is carried out in a substantially constant speed range and at a level of charge of the wind turbine. . More precisely, starting from the instantaneous speed and the instantaneous load giving signal, it is checked that, during the duration of the acquisition of the measurement signals, the fluctuation of the speed of operation of the wind turbine does not exceed the limits set in FIG. the configuration step for each preset speed range, as well as controlling that the wind turbine is operating in steady state (constant load) within the margin set in the configuration step. If the measurement signals acquired in the time domain in the step ET1 are validated, in other words if it has been validated in the step CD1 that the speed and the load of the wind turbine have remained substantially constant (in one of the ranges). predefined speeds) during the acquisition of the measurement signals, a step ET2 of resampling the measurement signals in the angular domain is implemented. This posterior angular resampling consists in resampling the measurement signals acquired in the time domain according to an angular grid (constant angular pitch) by using the information on the angular position provided by the reference signal said top turn during any the duration of the acquisition of the measurement signals. The resampling in the angular domain implemented in step ET2 is advantageously used to overcome the small variations in speed of the wind turbine and makes it possible to synchronize the measurement signals with respect to speed fluctuations and thus to reinforce the property. periodic and cyclic measurement signals (vibration). In other words, the representation of the measurement signals in the angular domain makes it possible to reduce the spectrum spreading problem and thus to better characterize the signals coming from periodic phenomena related to a precise angle during a cycle of operation of a rotating component of the machine. More precisely, the angular resampling consists in substituting for the time sampling of a measurement signal X (t) acquired in the time domain and thus a function of the time t, the sampling of a new signal xa (e) This operation is therefore a transformation which associates with a series of samples x (tn) spaced apart from a constant period of temporal sampling Te, a series of samples xa (in) spaced from one another. constant period of angular sampling ee. For angular resampling to be possible, it is necessary to know the phase law or the velocity law of the machine expressing the variation of the angular position as a function of time. This information is advantageously available from the reference signal said top turn. The principle of angular resampling then rests on the following three consecutive steps: - construction of the angular grid {en} resampling; evaluation of the corresponding temporal moments; - Evaluation of the xa [en] values of the transformed measurement signal in the angular domain.
    [0009] We will now describe the steps implemented exclusively in the learning mode, for forming the vibratory signatures reference for each vibration sensor, by operating speed range, for the wind turbine operating flawless. The monitoring system is first switched to learning mode during a step CD2 and, in a first step ETA1 of saving the measurement signals in the learning mode, the different measurement signals validated at the start Step ET1 and resampled in the angular domain in step ET2 are saved on a dedicated recording medium by being classified by speed range, so as to build the reference data field for the different speed ranges. Thus, according to the principles explained above with reference to the configuration step, the reference data deposit containing the different records saved for each speed range, fills as and when the speed of operation of the wind turbine . Note that the fill time of the reference data field increases with the number of speed ranges and the number of records to collect configured. It is verified in a step CD3 that the reference data field is filled and when this is the case, the learning mode is terminated and a communication step ETA2 of the end of the learning mode is implemented at the end of the learning mode. during which an end of learning mode status message is transmitted to the remote operator terminal, using the wired or wireless communication means. Then, a step ETA3 for forming the vibratory reference signatures for each vibration sensor is implemented from the signals collected and stored in the reference data deposit. For this purpose, for each vibration sensor, the measurement signals collected for the same speed range and the same load during the learning mode and resampled in angular are processed so as to present the measurement signals as a function of the rotation angle in a cycle of a rotating component of the wind turbine and the frequency. This processing can be carried out by the Wigner-Ville representation or by the synchronous spectrogram transformation by using the raw or second order cyclostationary angular signals, also called residual signals (calculated from the raw angular signals which have been subtracted from them). synchronous averages). Such a presentation of the measurement signals of the same speed range and for the same load along these two axes, respectively the angle of rotation and the frequency, will make it possible to calculate a distribution of the energy levels of each signal processed in given angular and frequency bands. The values obtained from the energy in a given angular band and frequency band of a measurement signal coming from a given vibration sensor will serve as reference values forming the vibratory reference signature for said vibration sensor when the we go into monitoring mode of the machine.
    [0010] The monitoring mode of the machine will now be described with reference to the steps ETS1 to ETS5 of FIG. 1. Thus, once the steps ETO to ET2 have been carried out, during a first step ETS1 of saving the measurement signals in operating mode. monitoring, the different measurement signals validated in the step ET1 and resampled in the angular domain in the step ET2 are saved on a dedicated recording medium under a directory preferably carrying a timestamp information of the launching of the procedure monitoring by being categorized by speed range in subdirectories of the main directory.
    [0011] Then, for each vibration sensor, a step ETS2 for calculating the distribution of the vibratory energy of the signals of the same speed range along the two axes of rotation angle and frequency is implemented. More precisely and as mentioned above in relation to the step of forming the reference vibratory signatures, a transformation of the resampled measurement signals in the angular domain is performed as a function of the angle of rotation and the frequency by the transformation. de Wigner-Ville or by the synchronous spectrogram transformation, which measure the vibratory energy at a given frequency and for each angular moment in the machine cycle. This results in a representation of the distribution of the energy dissipated by the measurement signal from a given vibration sensor along the two axes in angle and in frequency. With this representation, it is possible to very precisely locate phenomena of different natures according to their angle / frequency signature on a machine cycle. To do this, an ETS3 step of extracting monitoring indicators is implemented. An indicator is defined as the value of the energy in a frequency band and a given angular band of a given measurement signal. More precisely, the realization of the Wigner-Ville matrix or the matrix from the synchronous spectrogram will make it possible to extract scalar parameters relating to the energy level of the signal in given frequency and angular bands. Each of these scalar parameters, called monitoring indicators, thus makes it possible to quantify the energy of a particular vibratory phenomenon appearing in a frequency band and in a given angular band. In addition, in order to extract relevant parameters relating to physical events of a component of the wind turbine, it is necessary to identify the angular bands that correspond to these physical phenomena. For example, if certain defects are likely to occur at any time (i.e. at any angle) of the cycle, the angular band for these defects is the total range of the cycle. Following step ETS3 of extraction of the monitoring indicators, an ETS4 step is implemented consisting of forming the current vibratory signature for each vibration sensor, comparing it with the vibratory reference signature and detecting a defect in case of divergence. The calculation of the current vibratory signature includes the determination of a vector of the current indicators whose components are constituted by the values of the monitoring indicators previously extracted. Then a fault detection calculation is performed by comparing the different values of the components of the vector of the current indicators with previously determined thresholds for detecting faults according to the reference values of the respective indicators provided by the vibratory reference signature formed for the sensor. of vibration in the corresponding speed and load range, and which are advantageously defined in the configuration parameters provided in the ETO configuration step. According to one embodiment, two levels of defect detection thresholds can be distinguished, respectively a level of alert thresholds and a threshold level of alarms, for example according to a degree of priority as to the necessity of take the necessary maintenance arrangements to resolve the detected fault. There are thus alarm thresholds and alarm thresholds, which are each preferably set as a percentage of the reference values of the indicators forming the vibratory reference signature. The values of these thresholds are for example fixed by an operator of the machine according to his own expertise, or may be set according to information extracted from a database previously acquired on the same type of wind turbine. Thus, two vectors are defined, respectively alarm thresholds and alarm thresholds representing in percentage terms the thresholds for triggering alerts and alarms for all the indicators. By comparing the different values of the vector components of the current indicators with the respective detection thresholds previously established in the two alarm threshold and alarm threshold vectors, two alarm and alarm detection vectors can be calculated, with binary components, reflecting the detection or not of a fault and more precisely the appearance or not of an alert or an alarm on an indicator. Thus, the allowed value for each component of the alert detection vector, respectively of the alarm detection vector, is the binary value 0 or 1 depending on whether the corresponding component of the vector of the current indicators exceeds the corresponding threshold contained in the vector of alert thresholds, respectively the threshold vector of alarms. Once the calculations of the alarm detection and alarm vectors have been carried out, an ETS5 step is performed consisting in communicating the result of the detection of faults to the remote operator terminal by using the wired or wireless communication means. Two cases may arise depending on the presence or absence of alerts and / or alarms verified in a CD4 step. The first case corresponds to a detection situation where the two alerts detection and alarm vectors are identically zero. In this case, the machine is healthy and no fault detection is detected. The monitoring process of the machine can resume by looping back on the steps ET1 and following in monitoring mode, possibly preceded by a configuration step in case of reception of a new configuration.
    [0012] In a second case, at least one of the components of the alert detection vectors and / or alarms is equal to one, indicating the presence of an alert and / or an alarm on the corresponding indicators. In this case, it raises an alert and / or an alarm for the concerned indicator or indicators, which will be communicated to the remote operator terminal. At the end of this step, it also loops back to the monitoring mode of the machine.
    权利要求:
    Claims (10)
    [0001]
    REVENDICATIONS1. A method for detecting mechanical defects in a rotating machine with variable speed and rotating and non-rotating components, in which vibration sensors are provided respectively on each non-rotating component of the machine loaded by a rotating component of the machine, said method characterized in that measurement signals from each vibration sensor are acquired (ET1) during a set number of operating cycles of a rotating component of the machine, the acquired measurement signals are classified for each vibration sensor. by rotational speed range of the rotating component according to a plurality of predefined rotational speed ranges, (ETS2) for each vibration sensor is determined a distribution of energy levels of the measurement signals of the same speed range. in angular and frequency bands given from a representation of the measurement signals the same frequency range as a function of the frequency and the rotation angle of the cycle of the rotating component, generates (ETS3) a current vibratory signature by speed range for each vibration sensor from the distribution of energy levels thus determined, comparing (ETS4) the current vibratory signature for a given speed range and a given vibration sensor to a reference vibratory signature established for each vibration sensor in a faultless mode of the rotating machine, and it is found (ETS5) the presence of a defect if the current vibratory signature generated for a given vibration sensor differs from the reference vibratory signature.
    [0002]
    2. Method according to claim 1, characterized in that it comprises a validation step (CD1) of the acquisition of measurement signals consisting in verifying that the measurement signals are acquired at a substantially constant speed in each predetermined speed range. and at a substantially constant load level of the machine.
    [0003]
    3. Method according to any one of claims 1 or 2, characterized in that the acquisition of the measurement signals from the vibration sensors is carried out according to a temporal sampling and in that the signals are resampled (ET2). in the angular range using angular position information provided by a top-turn reference signal throughout the acquisition time of the measurement signals, and applying an angle-frequency transformation to the resampled signals angularly to obtain the representation of the signals as a function of the frequency and the angle of rotation.
    [0004]
    4. Method according to claim 3, characterized in that the resampling of a measurement signal in the angular range comprises the construction of an angular re-sampling grid, an evaluation of the temporal moments corresponding to the angular grid of resampling and determination of the values of the signal resampled angularly from the time sampling values of the measurement signal using the resampling angular grid.
    [0005]
    5. Method according to any one of claims 3 or 4, characterized in that the angle-frequency transformation applied to the signals resampled in angular to obtain the representation of the signals as a function of the frequency and the angle of rotation is achieved by the synchronous Wigner-Ville transformation.
    [0006]
    6. Method according to any one of claims 3 or 4, characterized in that the angle-frequency transformation applied to the signals resampled in angular to obtain the representation of the signals as a function of the frequency and the angle of rotation is performed by the synchronous spectrogram transformation.
    [0007]
    7. Method according to any one of the preceding claims, characterized in that one extracts from the distribution of the energy levels according to the frequency and the angle of rotation a plurality of monitoring indicators corresponding to the energy level of the signals. in given angular and frequency bands corresponding to the appearance of a periodic phenomenon resulting from the cycle of the rotating component and in that the current vibratory signature is constituted by the current values of the monitoring indicators extracted from the distribution of the energy levels. according to the frequency and the angle of rotation.
    [0008]
    8. A method according to claim 7, characterized in that the values of the current monitoring indicators are compared with pre-established default detection thresholds as a function of reference values of the monitoring indicators forming the reference vibratory signature.
    [0009]
    9. Device for detecting mechanical defects in a rotating machine with variable speed provided with rotating and non-rotating components in which each non-rotating component urged by a rotating component of the machine is equipped with a vibration sensor, said device being characterized by it comprises hardware and / or software means for implementing the method according to any one of claims 1 to 8.
    [0010]
    10. Rotating machine with variable speed provided with rotating and non-rotating components, comprising a plurality of vibration sensors equipping the various non-rotating components of the machine stressed by rotating components of the machine and a detection device according to claim 9.
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    同族专利:
    公开号 | 公开日
    FR3014502B1|2017-12-08|
    WO2015086959A1|2015-06-18|
    引用文献:
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    法律状态:
    2015-11-16| PLFP| Fee payment|Year of fee payment: 3 |
    2016-10-18| PLFP| Fee payment|Year of fee payment: 4 |
    2017-11-14| PLFP| Fee payment|Year of fee payment: 5 |
    2018-12-10| PLFP| Fee payment|Year of fee payment: 6 |
    2020-10-16| ST| Notification of lapse|Effective date: 20200910 |
    优先权:
    申请号 | 申请日 | 专利标题
    FR1362319A|FR3014502B1|2013-12-09|2013-12-09|METHOD AND DEVICE FOR DETECTING MECHANICAL DEFECTS IN A VARIABLE-RATE ROTATING MACHINE|FR1362319A| FR3014502B1|2013-12-09|2013-12-09|METHOD AND DEVICE FOR DETECTING MECHANICAL DEFECTS IN A VARIABLE-RATE ROTATING MACHINE|
    PCT/FR2014/053167| WO2015086959A1|2013-12-09|2014-12-04|Method and device for detecting mechanical faults in a variable speed rotating machine|
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