• 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:
    method to monitor demagnetization. the present invention relates to a method for identifying demagnetization failures of a permanent magnet synchronous generator, such as a wind power generator. the method is carried out during the operation of the synchronous generator and includes the measurement of the vibration of the stator (11), performing a frequency analysis of the vibration (12) and deducing whether the generator suffers from demagnetization of a permanent magnet (13) from the analyze if of vibration. in addition, faults in geometric eccentricities and faults in electrical short circuits can also be detected from vibration (12).
    公开号:BR112013027452B1
    申请号:R112013027452-2
    申请日:2012-04-25
    公开日:2020-10-06
    发明作者:Pedro Rodrigues
    申请人:Abb Schweiz Ag；
    IPC主号:
    专利说明:

    Technique Field
    [0001] The invention relates to systems for monitoring a synchronous permanent magnet machine, such as a generator. In particular, it refers to the monitoring of magnetic failures of the permanent magnets of a synchronous generator, for example, in a synchronous generator of permanent magnet for the generation of wind power. Background and prior art
    [0002] An important factor that enables high reliability in electric power plants is to provide generators, such as wind generators, with condition monitoring systems in order to detect failures at an early stage. The invention aims to provide an improved diagnostic method to detect and identify magnetic failures of synchronous permanent magnet generators (PMSG), especially for synchronous permanent magnet generators of wind power. Synchronous permanent magnet generators are one of the common machines in the wind generation industry. Detecting demagnetization is important as it causes degradation of the machine's performance. There are methods to detect demagnetization based on monitoring the rear EMF (electromotive force) and the stator current of the generators.
    [0003] However, when monitoring these indicators, there is a risk that incorrect information may be produced since other failure conditions produce similar conditions in addition to demagnetization.
    [0004] Document No. US 7,324,008 (D1) describes the analysis of an electrical machine using the Finite Element Method (FEM) analysis with at least one fault condition to be able to predict the effect of fault condition. The result of the FEM analysis can be used to identify the faults analyzed from active machine measurements (see Dl, summary). The Dl document describes a transverse flow motor, but it also suggests that similar EMF analysis with a failure can be used for other electrical machines (see Dl, column 7, line 26 to 50). The Dl document suggests the simulation of magnetic faults and the effect of magnetic faults on the magnetic flux, so that measurements of magnetic flux, using "scanning coils", can be used as an indication of magnetic faults (see D1, column 1, lines 46 to 51). The method described in document Dl provides a means of detecting faults that degrade the magnetic force of magnets due to overheating and / or demagnetization (see D1, column 6, line 15 to 16)
    [0005] In the field of technology, it is also important to monitor the rotor bearings. The condition of the rotor bearings in generators for wind turbines is often monitored by measuring vibration near the bearings.
    [0006] Document D1 suggests the analysis of other failure conditions, such as mechanical and electrical misalignments, and also suggests the use of other sensors to monitor the machine, in addition to the coils used to capture the magnetic flux (see D1, column 7 , line 27 to 31), such other sensors as temperature, vibration and current sensors.
    [0007] The invention relates to the diagnosis of synchronous permanent magnet machines, especially the detection of magnetic generator failures, and provides an alternative to using explorer coils.
    [0008] The article "Static-, Dynamic-, and Mixed-Eccentricity Fault Diagnoses in Permanent-Magnet Synchronous Motors", Ebrahimi et al, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 56, no. 11, November 2009 4727, (D4) indicates how static, dynamic and mixed eccentricities influence the current frequency spectra with amplitudes in side band components of the stator current frequency. In addition, document D4 describes how current spectra are influenced by demagnetization, short circuit faults and open circuit faults, and can be distinguished from eccentricity faults by not creating sideband components. The invention provides an alternative to current spectrum analysis to verify demagnetization, as described in D4, but it can also be used in addition to such stator current analysis.
    [0009] Documents D1 and D4 are considered to be the most relevant documents of the prior art, but reference will be made afterwards to some documents that refer to the solution of other technical problems besides the verification of demagnetization of permanent magnets in synchronous machines.
    [00010] Document No. US2011 / 0018727 (D2) describes a method and device for diagnosing wind turbine generator failure, in which sensors monitor a wind generator and signals from the sensors are analyzed to detect anomalies that indicate failures. The method which is described in D2 evaluates (see D2, Figure 1) electrical signals (voltage, current), vibration signals and temperature signals. The electrical signals and vibration signals are subjected to the respective spectral analysis (see D2, references 110 and 120) (such as an FFT or Fast Fourier Transformation). The spectra are subjected to signature analysis (see D2, references 140 and 142) and anomaly detection (see D2, references 150 and 154). Temperature transients are detected and temperature anomalies identified (see D2, reference 156). By detecting anomalies in the electrical and vibration spectra, respectively, and in temperature, it is concluded that the generator system has electrical or mechanical failures (see D2, paragraph [0009]). The vibration signals from an accelerometer and a voltage signature determined from generator voltage signals can be used to detect a hidden eccentricity fault (see D2, paragraph [0010]). The document describes generators in general and does not describe the detection of magnetic failures and especially does not detect magnetic failures in synchronous permanent magnet generators.
    [00011] Vibration signal analysis has been used to diagnose electrical machine failures, see Jover Rodriguez, PV, 2007, "Current-, Force-, and Vibration-Based Techniques for Induction Motor Condition Monitoring", doctoral dissertation, Helsinki University of Technology, Finland (D3), which can be found at http://lib.tkk.fi/Diss/2007/isbn9789512289387/isbn9789512289387.pdf
    [00012] Document D3 describes the analysis of the frequency spectra of vibrations of the stator in an asynchronous motor. The objective of this research was to find the best induction motor failure indicators, as well as adequate techniques to monitor the condition of induction motors. Document D3 describes the effects of electromagnetic force on the vibration pattern when the motor is running under fault conditions. In addition, document D3 describes a method that allows the prediction of the effect of electromechanical failures on the force distribution and vibration pattern of induction machines. In document D3, FEM computations are used, which show the force distributions acting on the stator of the electrical machine when it is operating under an electrical failure. It is shown that these force components have the ability to produce forced vibration in the machine's stator. The results were supported by measuring vibrations. Low-frequency monitoring can be the primary indicator in a condition monitoring system. Document D3 uses vibrational analysis to detect faults in an induction motor, whose faults are broken rotor bars, broken end ring, short circuit between turns, eccentricity bearing failures. Summary of the Invention
    [00013] An objective of the invention is to provide a method for detecting magnetic problems, which is easy to use and is still reliable. The present invention provides a method for detecting magnetic failures of a synchronous permanent magnet machine comprising a stator with windings and terminals for the machine currents and a rotor provided with permanent magnets, the rotor of which is rotatably arranged within the stator. Through the detection and identification of magnetic failures, especially demagnetization of a permanent magnet, the repair of a machine is facilitated, since the replacement of permanent magnets in the rotor will remove the defect and improve performance. For these purposes, the present invention provides a method for monitoring the demagnetization of permanent magnets in a synchronous machine according to the invention. The method is performed during the operation of the synchronous machine. The method, according to the invention includes measuring the vibration of the stator, performing a frequency analysis of the vibration, determining, based on whether the magnitude of the vibration in the supply frequency (fs) of the stator exceeds a limit value or not, if the machine suffers from demagnetization of a permanent magnet or not.
    [00014] Although this application essentially describes the monitoring and failure analysis of synchronous permanent magnet generators, the invention is also beneficial for monitoring and analyzing failure of synchronous permanent magnet motors.
    [00015] According to an embodiment of the invention, the method additionally comprises the step of determining, based on whether the magnitude of the vibration in the rotation frequency (ÍR) exceeds a limit value or not, whether the machine suffers from demagnetization of a permanent magnet or not.
    [00016] The demagnetization of a permanent magnet in a synchronous machine affects the vibration spectrum in the supply frequency (fs) of the stator and in the rotation frequency (ÍR) of the rotor. The monitoring of the vibration in the supply frequency (fs) of the stator can be used to detect a magnetic fault and distinguish the magnetic fault from other faults, such as electrical and geometric faults. Also monitoring the magnitude of vibration at the rotation frequency makes the deduction of a magnetic failure clearer.
    [00017] Vibration measurement provides an easy way to monitor demagnetization. The invention makes it possible to deduce that a permanent magnet synchronous machine suffers from demagnetization of a permanent magnet from vibration alone. The vibration measurement can include detecting vibrations by means of a vibration sensor which is attached to a stator structure or attached to the stator. For example, the inventive method can be achieved through the following steps; position and attach a vibration sensor, such as an accelerometer or accelerometers, to the stator structure; measure the vibration of the stator structure; analyze the frequencies of the vibration signal from the accelerometer; identify magnitudes of frequencies that indicate demagnetization and determine if the generator suffers from demagnetization of a permanent magnet.
    [00018] Exploring coils or other electrical measurements are not necessary. Demagnetization failures can be identified from the magnitude of the vibration in the supply frequency of the stator or in the frequency of rotation of the rotor.
    [00019] The method can be implemented in monitoring equipment that can be connected to a synchronous permanent magnet generator, for example, by attaching an accelerometer to the stator structure or by connecting an accelerometer already installed to a computing device, equipped with means of diagnosis, monitoring equipment.
    [00020] Alternatively, the method can be implemented in a control system of, for example, a wind power plant that has wind turbines that comprise synchronous permanent magnet generators, whose control system receives vibration signals from sensors. vibration fixed in the respective structures of the generator stator, whose method is implemented in such a control system through the analysis of the vibration signals and detection of magnetic failures from the frequency spectra of these vibration signals.
    [00021] The invention provides a method that can be used to identify demagnetization from vibrations only. Current measurements can be made in addition to vibration detection. In one embodiment, the method includes measuring at least one current of the stator, preferably each derived current, and performing frequency analysis for the current, such as for each derived current. Preferably, the method includes monitoring frequencies of the current spectrum that indicate electrical faults, magnetic faults and / or geometric faults, to find indications of such current faults or currents. In one embodiment, the system comprises means for the frequency analysis of a stator current and means for determining failures based on the frequency analysis. Brief Description of the Figures
    [00022] Figure 1 shows a method for detecting demagnetization failures, according to the invention.
    [00023] Figure 2 shows a system for detecting faults according to the invention.
    [00024] Figure 3 illustrates a vibration spectrum that indicates a demagnetization failure. Description of modalities
    [00025] Figure 1 illustrates a method for detecting magnetic failures in a permanent magnet synchronous generator. The method starts by obtaining a vibration signal from a permanent magnet synchronous generator. The obtained signal is subjected to a frequency analysis 12 in which the vibration signal is divided into a frequency spectrum and the magnitude of each frequency is calculated. Frequency analysis 12 is adequately performed through an FFT (Fast Fourier Transformation) or similar analysis for the stationary case, or, for example, with the use of a discrete wave transformation during transients due to variations in wind speed. The magnitudes in the vibration frequency spectrum of a defective generator can deviate from those of a properly operating generator. The spectrum is, therefore, subjected to a failure analysis (step 13), which monitors the magnitudes of the vibration frequencies to check for generator failures, especially a demagnetization of a permanent generator magnet. In more detail, the failure analysis step monitors the magnitudes of the vibration in the supply frequency (fs) of the stator and in the rotation frequency (ÍR) of the rotor. Elevated levels at these two frequencies in the vibration spectrum indicate a magnetic level deviation from a permanent magnet on the rotor. Obtaining step 11 may include a plurality of substeps, for example, positioning and attaching a vibration or motion sensor, such as one or more accelerometers and possibly also, as an alternative or additionally, electronic gyroscopes to the stator or a structure to which the stator is stuck. Obtaining step 11 may also include the substeps of measuring vibrations by means of the sensor and the substep of transferring the vibration signal to the fault analysis equipment, including receiving the vibration signal in the fault analysis equipment.
    [00026] Preferred embodiments of the present invention include detecting faults other than demagnetization faults, whose other faults are geometric faults, such as a static or dynamic eccentricity or a mixed eccentricity and electrical faults, such as stator windings short-circuiting . A technique similar to the FEM model, as used in document D3, can be used to provide reliable diagnostic methods for detecting failures of the permanent magnet synchronous generator in question. The method in Figure 1 illustrates obtaining 14 and analyzing 15 the frequency of each stator-derived current as optional steps (as indicated by dotted lines) to provide an improved basis for failure analysis 13. In such an embodiment, the failure analyzer is adapted to deduce magnetic, electrical and geometric faults in both the stator currents and the stator vibration.
    [00027] Fault analysis 13 can be followed by the subsequent correction of detected faults (step 16), such as replacing a defective permanent magnet, and / or adjusting other detected faults in the generator.
    [00028] Figure 2 illustrates a vibration sensor 5 communicatively connected to a failure analyzer 21 with means for analyzing vibration signals to detect magnetic failures of a permanent magnet synchronous generator. The vibration sensor is attached to a permanent magnet synchronous generator 1 to capture the vibrations of a stator 2 of generator 1 and is arranged to obtain the vibration signals for analyzing the rotation of rotor 3 of the synchronous generator 1. The fault analyzer 21 comprises a vibration signal interface 22, exemplified by a sensor interface 22 for receiving a wired or wireless connection to a vibration sensor, such as an accelerometer and receiving vibration signals, a spectrum analyzer 23, an fault 24 and an output for an operator in the form of a display 25. The spectrum analyzer 23 is adapted to analyze the frequency spectrum of a vibration signal received by the fault analyzer 21. To that end, the spectrum analyzer 23 applies a Fourier transformation or a time frequency decomposition to the received signal, for example, using a FFT (Fast Fourier Transformation) or wave transformation and produces levels of amplitude for the frequencies. ias that constitute the vibration signal, so that the signatures of the frequency components of the vibration can be identified. Fault identifier 24 receives the frequency spectrum including the magnitudes of each respective frequency from the spectrum analyzer 23. Fault identifier 24 is adapted to identify the frequency signatures of the vibration signal, and link those signatures to a fault condition. specifically, identify frequencies that have magnitudes that differ from a generator in good condition and deduce what type of failure the generator is experiencing. Fault identifier 24 is specially adapted to identify demagnetization of the permanent magnets of the generator by monitoring frequencies of the vibration spectrum that indicates a demagnetization failure and to monitor the magnitudes of these frequency components of the spectrum. In order to be able to estimate the severity of a vibration frequency that indicates a demagnetization failure, the failure identifier appropriately includes or has access to a memory, with reference data, such as magnitude levels that correspond to demagnetization levels. This reference data can be created by measuring a generator or motor during operation with a defective permanent magnet, such as a permanent magnet that is less strong than the nominal magnetic force of the permanent magnets normally used on the machine. For example, using a permanent magnet that has 80% of the power of a generator's permanent magnets during normal operation, and measuring vibration generates a measure of the size of demagnetization failures. The magnitudes of vibration in a demagnetization failure that indicate frequency can be appropriately interpolated and extrapolated from simulation results and also approximate to be proportional to the level of demagnetization. An alternative method for obtaining reference data to fault identifier 24 of fault analyzer 21 is to perform a FEM model of the generator with different levels of demagnetization of the permanent magnets.
    [00029] The signature for demagnetization is seen in the vibration frequency spectrum, especially in the rotation frequency (ÍR) of the rotor and in the stator supply frequency (fs) (see Figure 3). The frequency component that generates the best indication of a demagnetization failure is the supply frequency (fs) of the stator. In a machine in good condition, there is substantially no vibration at this frequency, that is, the magnitude of the vibration at the supply frequency (fs) of the stator is close to zero. Therefore, fault identifier 24 is adapted to compare the magnitude of the vibration in the supply frequency (fs) of the stator with the reference data. Based on the reference data, a limit value for a fault condition can be determined. If the magnitude of the vibration at the supply frequency (fs) of the stator exceeds the limit value, fault identifier 24 determines that the machine suffers from demagnetization of a permanent magnet. Otherwise, fault identifier 24 determines that the machine does not suffer from demagnetization of a permanent magnet.
    [00030] Even on a machine in good condition, there are typically vibrations in the rotation frequency (ÍR) of the rotor, and consequently vibration at that frequency is not a favorable indicator of a demagnetization failure. However, vibration in the rotation frequency (ÍR) can be used to confirm the fault identification results obtained from the analysis of the stator supply frequency (fs). From the reference data, a limit value for the magnitude of the vibration at the rotation frequency (ÍR) corresponding to a fault condition can be determined and the fault identifier 24 is adapted to compare the magnitude of the vibration at the rotation frequency (ÍR) ) with the limit value. The determination of whether the machine suffers from demagnetization of a permanent magnet or not is made in a manner corresponding to the use of vibrations in the supply frequency (fs) of the stator as the fault indicator.
    [00031] The failure analyzer 21 is suitably provided to present the result of the analysis, especially an identified demagnetization failure, on a user interface in the form of a display 25. In addition or alternatively, an audible alarm or other failure indication can be presented through a speaker (not shown).
    [00032] In addition to the sensor interface 22 for the vibration signal, which can arrive via a computer network, the failure analyzer 21 is suitably equipped with other sensor interfaces to interface with other sensors, such as a contact 26 to receive measurement signals from an additional sensor. Alternatively, the same interface can be arranged to receive measurements from different measurement units. The failure analyzer 21 exemplified in Figure 2 includes a contact 26 to interface and receive signals from another sensor, especially a current meter, whose current meter (not shown) must be arranged to measure the currents derived from generator 1 The current signals are fed to a current analyzer 27 provided to perform a frequency spectrum analysis, such as an FFT analysis, and the current analyzer 27 subsequently transfers the magnitudes of the frequency spectrum to the fault identifier 24. The fault identifier is adapted to identify faults indicated by magnitudes in, or each, current spectrum derived from the stator, such as electrical faults, for example, short circuits between turns of a stator winding.
    [00033] The failure analyzer 21 can be integrated into a portable service and control equipment, which can be connected to a vibration sensor attached to a stator structure and arranged to obtain vibrations from vibrations. The failure analyzer 21 can alternatively be integrated into control and monitoring equipment permanently arranged in a control room to monitor and control the generator, such as in a control room in a wind power plant.
    [00034] The spectrum analyzer 23 and fault identifier 24 are illustrated as separate entities, but can be adequately provided as a combination of software and hardware entities on a computer and, for example, share processor and memory. On the same computer, the current analyzer 27 can be properly integrated. The magnetic failure monitoring method can be implemented as a computer program product and includes program steps to deduce whether a machine has a demagnetization failure. When the computer program is run on a computer that receives vibration signals from a permanent magnet synchronous machine as an input, the computer program must be adapted to see if the permanent magnet synchronous machine suffers from a demagnetization failure or do not. The program must be adapted to make technical considerations based on the vibrations of the permanent magnet synchronous machine, such as finding a magnetic failure. In particular, the program is adapted to link the demagnetization faults to operating parameters of the permanent magnet synchronous machine, such as the rotation frequency (ÍR) and / or the supply frequency (fs) of the stator. In doing so, the program solves the technical problem of deducting whether a synchronous permanent magnet machine suffers from a demagnetization failure or not, taking into account the technical characteristics of the machine, that is, the operating frequencies of the machine when analyzing vibrations physically obtained from the machine. The program must also be adequately adapted to provide an output of the deduction result to an operator.
    [00035] Figure 3 illustrates a vibration spectrum of a permanent magnet synchronous generator that has a demagnetized permanent magnet. The magnitude of vibration at the supply frequency of the stator fs, as well as the magnitude of vibration at the rotation frequency of the rotor ÍR is affected and the two magnitudes are greater than normal, especially the magnitude of vibration at the supply frequency of the stator fs . Similarly, the signatures of geometric and electrical faults must be properly identified in the frequency spectrum of the vibration signal.
    [00036] A system, method and program product for detecting demagnetization failures of a permanent magnet synchronous generator, such as a wind power generator has been described. The method is performed during the operation of the synchronous generator and includes measuring the vibration of the stator, performing a frequency analysis of the vibration, and deducing, from the vibration analysis, if the generator suffers from demagnetization of a permanent magnet.
    权利要求:
    Claims (4)
    [0001]
    1. Method for monitoring demagnetization of permanent magnets in a synchronous machine, such as a wind power generator that has a stator with windings and a rotor with permanent magnets that are arranged to rotate in relation to the stator, the method being performed during synchronous machine operation, characterized by including the steps of, measuring the vibration of the stator (11), performing a frequency analysis of the vibration (12), determining, based on the fact that the magnitude of the vibration in the supply frequency (fs) the stator exceeds a limit value or not, whether the machine undergoes demagnetization of a permanent magnet (13) or not.
    [0002]
    2. Method, according to claim 1, characterized by the fact that the method also comprises the steps of: determining, based on the fact that the magnitude of the vibration in the rotation frequency (ÍR) exceeds or does not exceed a limit value , whether the machine undergoes demagnetization of a permanent magnet (13) or not.
    [0003]
    3. Method according to claim 1 or 2, characterized by the fact that the vibration measurement includes detecting vibrations through a vibration sensor (12) that is attached to a stator frame or attached to the stator.
    [0004]
    Method according to any one of claims 1 to 3, characterized in that the machine is a permanent magnet synchronous generator.
    类似技术:
    公开号 | 公开日 | 专利标题
    BR112013027452B1|2020-10-06|METHOD FOR MONITORING DEMAGNETIZATION OF PERMANENT IMAGES IN A SYNCHRONOUS MACHINE
    JP5875734B2|2016-03-02|Diagnostic device and switching device for electric motor
    Mehrjou et al.2011|Rotor fault condition monitoring techniques for squirrel-cage induction machine—A review
    KR101432786B1|2014-09-23|Fault diagnosis method of motor and system thereof
    US8405339B2|2013-03-26|System and method for detecting fault in an AC machine
    Negrea2006|Electromagnetic flux monitoring for detecting faults in electrical machines
    JP5546545B2|2014-07-09|Method for monitoring and / or analyzing an electric machine during operation of the rotor of the electric machine and apparatus for monitoring and / or analyzing the electric machine during operation
    ES2717194T3|2019-06-19|A method to detect a fault condition in an electrical machine
    Rosero et al.2009|Fault Detection in dynamic conditions by means of Discrete Wavelet Decomposition for PMSM running under Bearing Damage
    KR101326586B1|2013-11-07|Apparatus and method for diagnosing rotor faults of induction motor, and a medium having computer readable program for executing the method
    Raj et al.2013|Induction motor fault detection and diagnosis by vibration analysis using MEMS accelerometer
    KR101381822B1|2014-04-17|Vibration signal analysis method in motors
    BR102016027752A2|2017-05-30|methods and systems for real-time monitoring of wind generator winding insulation status
    Ebrahimi et al.2012|Pattern recognition for broken bars fault diagnosis in induction motors under various supply conditions
    Singh2019|Condition Monitoring and Fault Diagnosis Techniques of Electric Machines
    BR102015011438B1|2020-08-18|SYSTEM AND METHOD FOR IDENTIFYING CHARACTERISTICS OF AN ELECTRICAL MACHINE
    Ogidi et al.2018|Measuring fault indicators in electric machines-learning experience
    TWI751170B|2022-01-01|Pump assembly, method of analysing data received from an accelerometer mounted on a pump and computer program
    KR102152695B1|2020-09-07|Apparatus and method of detecting field winding short circuits in 3-phase wound-field synchronous motors
    JP5051528B2|2012-10-17|Machine equipment abnormality judgment device and machine equipment abnormality judgment method
    KR101950385B1|2019-02-20|System and method for diagnosing induction motor and load, and a recording medium having computer readable program for executing the method
    Niño et al.2015|Computer assisted detection of interturn short-circuits in rotor windings
    Bikfalvi et al.2006|Rotor Fault Detection in Induction Machines: Methods and Techniques-State-of-the-Art
    CN114062910A|2022-02-18|Motor online diagnosis system and method
    TW201812179A|2018-04-01|Pump assembly, method and computer program
    同族专利:
    公开号 | 公开日
    CN103620354A|2014-03-05|
    EP2702374A1|2014-03-05|
    EP2518456A1|2012-10-31|
    JP5792374B2|2015-10-14|
    DK2702374T3|2015-01-05|
    CN103620354B|2016-01-20|
    US20140049285A1|2014-02-20|
    WO2012146613A1|2012-11-01|
    EP2702374B1|2014-09-24|
    KR101474187B1|2014-12-17|
    KR20140031240A|2014-03-12|
    JP2014512799A|2014-05-22|
    US9823308B2|2017-11-21|
    引用文献:
    公开号 | 申请日 | 公开日 | 申请人 | 专利标题
    US3481184A|1967-07-14|1969-12-02|Ibm|Core testing methods and apparatus|
    US4408160A|1981-04-08|1983-10-04|Southwest Research Institute|Acoustic Barkhausen stress detector apparatus and method|
    JPH0652997B2|1986-01-21|1994-07-06|三洋電機株式会社|Brushless motor drive controller|
    JPS6319803A|1986-07-12|1988-01-27|Diesel Kiki Co Ltd|Operation detection equipment of solenoid actuator|
    JPH04215030A|1990-12-13|1992-08-05|Matsushita Electric Ind Co Ltd|Magnetic sensor inspecting device|
    US5365787A|1991-10-02|1994-11-22|Monitoring Technology Corp.|Noninvasive method and apparatus for determining resonance information for rotating machinery components and for anticipating component failure from changes therein|
    US6037769A|1996-08-12|2000-03-14|The Manchester Metropolitan University|Torque magnetometric apparatus and method for determining the magnetic moment of a specimen|
    JP2000333423A|1999-05-21|2000-11-30|Matsushita Electric Ind Co Ltd|Permanent magnet motor|
    US6474166B1|1999-07-05|2002-11-05|Nidec Corporation|Method for indicating characteristics of rotating apparatus or vibrating apparatus|
    JP2001074547A|1999-07-05|2001-03-23|Nippon Densan Corp|Characteristic display method, characteristic display system, and record medium storing characteristic display program|
    JP4253104B2|2000-05-19|2009-04-08|東京電力株式会社|Abnormal diagnosis method for rotating machinery|
    US6427794B1|2001-09-17|2002-08-06|Ford Global Technologies, Inc.|Adaptive demagnetization compensation for a motor in an electric or partially electric motor vehicle|
    US6720792B2|2001-09-17|2004-04-13|Ford Global Technologies, Llc|Detection of demagnetization in a motor in an electric or partially electric motor vehicle|
    US6822418B2|2002-08-23|2004-11-23|International Rectifier Corporation|Position estimation and demagnetization detection of a permanent magnet motor|
    JP4275426B2|2003-02-26|2009-06-10|三菱電機株式会社|Evaluation method, evaluation program and evaluation system for demagnetization of permanent magnet|
    JP2004328822A|2003-04-22|2004-11-18|Boc Edwards Kk|Motor controller, motor device, vacuum pump, correction current value measuring device, and motor controlling method|
    GB0319553D0|2003-08-20|2003-09-24|Rolls Royce Plc|Condition monitoring|
    JP4145317B2|2005-09-28|2008-09-03|東洋電機製造株式会社|Main circuit of power generator for distributed power supply|
    JP4814644B2|2006-02-01|2011-11-16|富士重工業株式会社|Wind power generator|
    JP2006223097A|2006-04-21|2006-08-24|Mitsubishi Electric Corp|Permanent magnet motor, control method for permanent magnet motor, control device for permanent magnet motor, compressor, and refrigeration/air-conditioning device|
    JP4732304B2|2006-11-07|2011-07-27|株式会社小野測器|Tachometer and tachometer program|
    JP5239490B2|2008-05-07|2013-07-17|トヨタ自動車株式会社|Motor magnet testing equipment|
    US8690525B2|2008-07-14|2014-04-08|Edwards Japan Limited|Vacuum pump|
    US9261562B2|2008-10-04|2016-02-16|Skf Usa, Inc.|Portable system for immotive multiphasic motive force electrical machine testing|
    JP5293300B2|2009-03-16|2013-09-18|富士電機株式会社|Vibration monitoring device and vibration monitoring method for rotating machine|
    JP4782218B2|2009-06-10|2011-09-28|新日本製鐵株式会社|Equipment abnormality diagnosis method|
    WO2011006528A1|2009-07-13|2011-01-20|Abb Research Ltd|Fault detection in a rotating electrical machine|
    JP2011024313A|2009-07-14|2011-02-03|Yaskawa Electric Corp|Motor controller|
    US8451134B2|2009-07-24|2013-05-28|Honeywell International Inc.|Wind turbine generator fault diagnostic and prognostic device and method|
    JP2011055651A|2009-09-02|2011-03-17|Toyota Motor Corp|Motor controller|
    CN101710162A|2009-11-27|2010-05-19|华北电力大学（保定）|Motor rotor winding interturn short-circuit failure diagnosing method based on stator iron core vibration|
    CN101782475B|2010-02-08|2011-07-20|天津工业大学|Blade fault diagnosing method based on vibration of wind generating set|
    US8610452B2|2010-04-23|2013-12-17|Korea University Research And Business Foundation|Apparatus and method for diagnosing permanent magnet demagnetization of permanent magnet synchronous motor, and apparatus for driving permanent magnet synchronous motor|
    CN101858778A|2010-05-28|2010-10-13|浙江大学|Vibration monitoring-based wind generator set automatic fault diagnosis method|NO331113B1|2010-03-23|2011-10-10|Norwegian Ocean Power As|Variable electric generator|
    EP2851698B1|2013-09-18|2021-07-21|ABB Schweiz AG|A method for detecting a fault in an electrical machine|
    JP6190841B2|2015-04-02|2017-08-30|三菱電機株式会社|Diagnostic equipment for electric motors|
    EP3081914B1|2015-04-15|2018-07-04|Siemens Aktiengesellschaft|Monitoring of a machine with a rotating machine component|
    EP3106890A1|2015-06-19|2016-12-21|General Electric Technology GmbH|Method for measuring a stator core of an electric machine and measuring device|
    CN105629171B|2015-12-31|2019-01-15|国电南瑞科技股份有限公司|A kind of demagnetization and overvoltage ability meter applied to excitation system and its test method|
    CN105974312B|2016-06-06|2018-11-27|安徽大学|Permanent magnet synchronous motor demagnetization method for diagnosing faults|
    KR101764540B1|2016-06-21|2017-08-02|두산중공업 주식회사|Vibration Monitoring and Diagnosis System for Wind Turbine|
    EP3282268A1|2016-08-09|2018-02-14|Rolls-Royce plc|A method and apparatus for diagnosing a fault condition in an electric machine|
    CN107643709B|2017-09-18|2019-01-15|南京理工大学|One kind being based on ultrahigh speed permanent magnet synchronous motor monitoring system combined of multi-sensor information|
    CN108206655A|2018-01-18|2018-06-26|同济大学|One kind is lengthened the life control method for inverter system after demagnetization failure|
    EP3595147A1|2018-07-12|2020-01-15|Siemens Gamesa Renewable Energy A/S|Structure health monitoring of the stator of an electrical generator|
    FR3088439B1|2018-11-12|2020-11-13|Electricite De France|ELECTRICAL FAULT DETECTION IN A GENERATOR|
    JP2020122762A|2019-01-31|2020-08-13|住友重機械工業株式会社|Diagnosis system|
    US20210311122A1|2020-04-01|2021-10-07|Caterpillar Inc.|System and Method for Detecting Winding Faults in a Generator|
    CN111537910A|2020-04-17|2020-08-14|江苏大学|Stator winding turn-to-turn short circuit fault diagnosis method and device based on vibration signals|
    CN111413616B|2020-05-26|2022-03-08|河南理工大学|Comprehensive diagnosis method for demagnetization fault of permanent magnet motor|
    CN112163362A|2020-10-15|2021-01-01|国网湖南省电力有限公司|Improved permanent magnet motor magnetic field analysis method considering segmented skewed poles and storage medium|
    法律状态:
    2017-12-19| B25A| Requested transfer of rights approved|Owner name: ABB SCHWEIZ AG (CH) |
    2018-01-30| B25L| Entry of change of name and/or headquarter and transfer of application, patent and certificate of addition of invention: publication cancelled|Owner name: ABB TECHNOLOGY AG (CH) |
    2018-02-06| B25C| Requirement related to requested transfer of rights|Owner name: ABB TECHNOLOGY AG (CH) |
    2018-05-22| B25L| Entry of change of name and/or headquarter and transfer of application, patent and certificate of addition of invention: publication cancelled|Owner name: ABB SCHWEIZ AG (CH) |
    2018-05-29| B25A| Requested transfer of rights approved|Owner name: ABB SCHWEIZ AG (CH) |
    2018-12-18| B06F| Objections, documents and/or translations needed after an examination request according [chapter 6.6 patent gazette]|
    2019-11-26| B06U| Preliminary requirement: requests with searches performed by other patent offices: procedure suspended [chapter 6.21 patent gazette]|
    2020-05-12| B09A| Decision: intention to grant [chapter 9.1 patent gazette]|
    2020-10-06| B16A| Patent or certificate of addition of invention granted [chapter 16.1 patent gazette]|Free format text: PRAZO DE VALIDADE: 20 (VINTE) ANOS CONTADOS A PARTIR DE 25/04/2012, OBSERVADAS AS CONDICOES LEGAIS. |
    优先权:
    申请号 | 申请日 | 专利标题
    EP11164289.8|2011-04-29|
    EP11164289A|EP2518456A1|2011-04-29|2011-04-29|Method for monitoring demagnetization|
    PCT/EP2012/057555|WO2012146613A1|2011-04-29|2012-04-25|Method for monitoring demagnetization|
    [返回顶部]