Interturn Fault Diagnosis Strategy for Interior Permanent-Magnet Synchronous Motor of Electric Vehicles Based on Digital Signal Processor

Du, Bochao; Wu, Shaopeng; Han, Shuai; Cui, Shumei

doi:10.1109/tie.2015.2496900

Cited by 87 publications

(39 citation statements)

References 33 publications

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“…N is the number of coils in the phase winding; n indicates the number of turns in a coil; f N is the number of short-circuited turns in a coil. So, The fault current equation [16] will then be:…”

Section: Mathematical Model Of An Inter-turn Short-circuit Faultmentioning

confidence: 99%

“…To enhance the capacity of diagnosis algorithms to deal with interference, some approaches have tried injecting high-frequency excitation into the voltage to monitor the high-frequency response of motor faults. However, the frequency of the injected excitation is low, which results in high-frequency noise and leaves it susceptible to stator asymmetry [10,16].…”

Section: Introductionmentioning

confidence: 99%

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Inter-turn Fault Identification of Surface-Mounted Permanent Magnet Synchronous Motor Based on Inverter Harmonics

Gao

Zhang

et al. 2020

Energies

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Inter-turn short-circuit faults can lead to further faults in motors. This makes monitoring and identifying such faults particularly important. However, because of interference in their working environment, fault signals can be weak and difficult to detect in permanent magnet synchronous motors. This paper proposes a method for overcoming this by extracting the inverter harmonics as an excitation source and then extracting characteristic of fault measurements from the negative sequence voltage. First of all, a model of permanent magnet synchronous motor faults is established and a fault negative sequence voltage is introduced to calculate the fault indicators. Then the high frequency harmonic excitation in the voltage is extracted. This is injected into the original voltage signal and the high frequency negative sequence component is separated and detected by a second-order generalized integrator. Simulation results show that the proposed method can effectively identify inter-turn short-circuit faults in permanent magnet synchronous motors while remaining highly resistant to interference. The method is especially effective when the severity of the fault is relatively small and the torque is relatively large.

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Section: Mathematical Model Of An Inter-turn Short-circuit Faultmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Inter-turn Fault Identification of Surface-Mounted Permanent Magnet Synchronous Motor Based on Inverter Harmonics

Gao

Zhang

et al. 2020

Energies

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“…The fault detection based on the time-frequency strategies is among the evolved methods in this field that solves the problem of time-based ones in which the assumed signal should have evident changes in time. Also, the solutions based on the frequency domain are only applicable for stationary or periodic non-stationary signals [12,13]. Since the BLDC motors may be under no load, variable load or torque ripples, the measurement signals are generally dynamic and has a transient part.…”

Section: Introductionmentioning

confidence: 99%

Stator fault diagnosis of a BLDC motor based on discrete wavelet analysis using ADAMS simulation

Hosseini

Abedi

2019

SN Appl. Sci.

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In this paper, a method is considered to observe the stator inter-turn fault (SITF) in brushless DC motors (BLDCM). This is a crucial subject to deal with, since the fault may cause expensive replacement of parts in case of late diagnosis. The approach used here is the discrete wavelet transform, which is one of the many kinds of time-frequency analysis approaches. Taking advantage of a model closely related to a real BLDCM, the stator current is simulated and the aforesaid signal-based method is applied to it. The feature used as a parameter to determine whether SITF has occurred or not is the average change or deviation in the energy amount of four signals named high frequency (detail) signals. In other words, first, the difference percentage of the energy parameters between those four signals in healthy and faulty operation mode would be measured. Then, the average percentage of the energy variation amounts are to be compared with a threshold to determine the fault occurrence. Having a precise Simulink/Matlab plus ADAMS model of the motor, the designed algorithm will be validated.

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“…Essentially, these two methods are exploring the 2 nd harmonic in as fault signal [15]. In [16,17], fault detection was realized by comparing the magnitude of the 2 nd harmonics in control voltages, demonstrating that the turn fault severity is proportional to the amplitude of 2 nd harmonics. Unfortunately, the synchronous reference frame 2 nd harmonics exist in healthy conditions due to natural unbalance in a drive system.…”

Section: Introductionmentioning

confidence: 99%

Stator Turn Fault Detection by Second Harmonic in Instantaneous Power for a Triple-Redundant Fault-Tolerant PM Drive

Wang

Griffo

et al. 2018

IEEE Trans. Ind. Electron.

109

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including the URL of the record and the reason for the withdrawal request. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICSAbstract-Fast and reliable detection of stator faults is of key importance for fail-safe and fault tolerant machine drives in order to immediately trigger appropriate fault mitigation actions. The paper presents a detailed analytical and experimental analysis of the behavior of a closed loop controlled permanent magnet machine drive under inter-turn fault conditions. It is shown that significant 2nd harmonic components in the dq voltages, currents, instantaneous active power (IAP) and reactive power (IRP) are generated during turn fault conditions. The analyses further show that the increase of the 2nd harmonic in IAP and IRP during fault conditions is comparatively higher than that of voltage and current, making them ideal candidates as turn fault indicators. A turn fault detection technique based on 2nd harmonic in IAP and IRP is implemented and demonstrated for a triple redundant, fault tolerant permanent magnet assisted synchronous reluctance machine (PMA SynRM) drive. The effectiveness of the proposed detection technique over the whole operation region is assessed, demonstrating fast and reliable detection over most of the operating region under both motoring and generating mode.Index Terms-Fault tolerant, turn fault, fault detection, fault mitigation, 2 nd harmonic, active power, reactive power.

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Interturn Fault Diagnosis Strategy for Interior Permanent-Magnet Synchronous Motor of Electric Vehicles Based on Digital Signal Processor

Cited by 87 publications

References 33 publications

Inter-turn Fault Identification of Surface-Mounted Permanent Magnet Synchronous Motor Based on Inverter Harmonics

Inter-turn Fault Identification of Surface-Mounted Permanent Magnet Synchronous Motor Based on Inverter Harmonics

Stator fault diagnosis of a BLDC motor based on discrete wavelet analysis using ADAMS simulation

Stator Turn Fault Detection by Second Harmonic in Instantaneous Power for a Triple-Redundant Fault-Tolerant PM Drive

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