Stator inter‐turn fault detection in closed‐loop controlled drive based on switching sideband harmonics in CMV

He, Lingjuan; Huang, Jin; Hou, Zhaowen; Yang, Junyou; Ye, Ming

doi:10.1049/iet-epa.2016.0555

Cited by 9 publications

(9 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Under space vector pulse width modulation (SVPWM), there is a large amount of harmonic in the multiple frequency band of the carrier frequency, f c . As switching between harmonics with frequencies of f c ± 2f 1 and f c ± 4f 1 can generate rotating voltage vectors and provoke a response in the motor [18], this harmonic can be used as an effective excitation source for fault diagnosis. The fault diagnosis is performed by measuring the corresponding response.…”

Section: Effective Harmonic Switching Excitationmentioning

confidence: 99%

See 1 more Smart Citation

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

Gao

Zhang

et al. 2020

Energies

View full text Add to dashboard Cite

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.

show abstract

Section: Effective Harmonic Switching Excitationmentioning

confidence: 99%

“…The common-mode voltage is then monitored online to detect the zero-sequence voltage generated by the motor when the fault occurs. Although this method avoids motor asymmetry-related issues and has no hardware requirements for measuring the zero-sequence voltage, characteristically, the monitored changes are relatively weak [18].…”

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

View full text Add to dashboard Cite

show abstract

“…Some methods are based on the rotating or pulsating-type HF signal injection superimposed on the controller command voltage [20][21][22][23][24], others apply inherent HF components of the drive pulse width modulation (PWM), shortly modifying the modulation to inject predefined switching vectors [24][25][26][27]. Other proposals have used inherent PWM switching harmonics to replace the injected signal, avoiding the modulation modification [28,29].…”

Section: Introductionmentioning

confidence: 99%

“…It is well known that an ITF modifies the inductances of the IM [33, 21], the proposed technique detects these variations without modifying the standard space‐vector modulation (SVPWM) using a simple signal processing. The signal injection strategy used in this effort has to be discerned from zero‐sequence voltage measurement as in [29, 34]. In [29], the sideband response of the PWM switching harmonics in common‐mode voltage is processed and analysed for ITF diagnosis, applying conjugation and subtraction operations to switching sidebands.…”

Section: Introductionmentioning

confidence: 99%

Stator inter‐turn faults diagnosis in induction motors using zero‐sequence signal injection

Otero

Barrera

Bossio

et al. 2020

IET Electric Power Applications

View full text Add to dashboard Cite

This study presents a strategy for stator inter-turn faults diagnosis in induction motors (IMs) operating under timevariable load and time-variable speed conditions. The strategy consists in injecting a zero-sequence high-frequency signal in order to analyse variations in the stator inductances. Incipient stator inter-turn faults are detected by a simple signal processing of the derivatives of the currents. A feature of the strategy is that the zero-sequence high-frequency signal is generated by the inverter that feeds the machine, without modifying the standard space vector modulation of the IM-drive. Experimental results show that faults representing <1% of the stator winding can be detected, as well as the phase location of the fault, validating this proposal.

show abstract

“…Wavelet analysis‐based signal energy estimation has been used as a new fault detection index for doubly‐fed induction generator during inter‐turn fault [11]. The sideband response of inverter switching harmonics in common mode voltage (CMV) has been seen to be monitored for detecting stator inter‐turn faults in inverter‐fed induction machine, running under closed‐loop control [12]. Inter‐turn faults have been monitored both in simulation and online environments using extended Kalman filter based analysis [13].…”

Section: Introductionmentioning

confidence: 99%

Inter‐turn short‐circuit assessment of DC motor used in railway locomotive

Ray

Chattopadhyay²,

Sharma

et al. 2018

IET Electric Power Applications

View full text Add to dashboard Cite

This study deals with inter-turn short-circuit assessment of DC traction motors used in railway locomotives. This has been done by analysing input current spectra of rectifier unit feeding the traction motor. The analysis includes multi-resolution analysis and discrete wavelet transform (DWT) of current spectra to calculate approximate and detailed coefficients and then to evaluate the skewness, kurtosis and root mean square values. Variation of those values with respect to percentage of inter-turn short circuit at different DWT decomposition levels has been observed. A number of curves have been chosen for fault assessment based on the observations. Deviations from normal condition have also been observed by logic matrix. Depending on the features obtained, normal and different percentages of short in the traction motor windings have been classified and an algorithm has been proposed accordingly. Case study has been carried out on Indian WAP4 locomotive, wherein the input current to the rectifiers has been analysed and efficacy of the proposed algorithm has been validated. If for the locomotives, these parameters are monitored, percentage of inter-turn short circuit in the winding may be assessed far before massive system degradation occurs.

show abstract

Stator inter‐turn fault detection in closed‐loop controlled drive based on switching sideband harmonics in CMV

Cited by 9 publications

References 35 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 inter‐turn faults diagnosis in induction motors using zero‐sequence signal injection

Inter‐turn short‐circuit assessment of DC motor used in railway locomotive

Contact Info

Product

Resources

About