Online Diagnosis of Slight Interturn Short-Circuit Fault for a Low-Speed Permanent Magnet Synchronous Motor

Zhang, Yecheng; Zhao, Wenxiang; Zhou, Huawei; Chen, Qian; Wei, Mingji

doi:10.1109/tte.2020.2991271

Cited by 21 publications

(7 citation statements)

References 28 publications

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“…In order to diagnose the slight ITSF as well as the degree of ITSF under various operating conditions, we propose the following fault indicator by combining (23) and (24).…”

Section: Proposed Fault Indicatormentioning

confidence: 99%

“…Considerable research has been conducted to diagnose ITSF [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. Methods to diagnose ITSF using only the electric current include frequency analysis methods such as fast Fourier transform, short-time Fourier transform, and wavelet transform, as well as second-harmonics analysis and symmetrical component analysis [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

“…The last method is a model-based method using model formulae and parameters [18][19][20][21][22][23][24]. This method uses features such as the Kalman filter and zero-sequence components, etc., and it diagnoses faults based on the difference between the model and the measured value.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Interturn Short Fault Diagnosis Using Magnitude and Phase of Currents in Permanent Magnet Synchronous Machines

Jeong

Lee

Kim

et al. 2022

Sensors

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With the increased demand for permanent magnet synchronous machines (PMSMs) in various industrial fields, interturn short fault (ITSF) diagnosis of PMSMs is under the limelight. In particular, to prevent accidents caused by PMSM malfunctions, it is difficult and greatly necessary to diagnose slight ITSF, which is a stage before the ITSF becomes severe. In this paper, we propose a novel fault indicator based on the magnitude and phase of the current. The proposed fault indicator was developed using analysis of positive-sequence current (PSC) and negative-sequence current (NSC), which means the degree of the asymmetry of the three-phase currents by ITSF. According to the analysis, as ITSF increases, the phase difference between PSC and NSC decreases and the magnitude of NSC increases. Therefore, the novel fault indicator is suggested as a product of the cosine value of the phase indicator and the magnitude indicator. The magnitude indicator is the magnitude of NSC, and the phase indicator means the phase difference between the PSC and the NSC. The suggested fault indicator diagnoses the degree of ITSF as well as slight ITSFs under various conditions by only measured three-phase currents. Experimental results demonstrate the effectiveness of our proposed method under various torque and speeds.

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“…In order to diagnose the slight ITSF as well as the degree of ITSF under various operating conditions, we propose the following fault indicator by combining (23) and (24).…”

Section: Proposed Fault Indicatormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Interturn Short Fault Diagnosis Using Magnitude and Phase of Currents in Permanent Magnet Synchronous Machines

Jeong

Lee

Kim

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…A comprehensive short-circuit current analysis under different fault scenarios can be found in [67] based on the FEA model, where the fault resistance in the short-circuit path is considered. In [68], a zero-sequence voltage vectorbased method is proposed to address the ITSC in low-speed PMSMs. [69] proposes an online ITSC detecting method by utilizing the second-order harmonics in the q-axis current in comparison to the non-fault condition.…”

Section: E Fault Diagnosismentioning

confidence: 99%

Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview

2021

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Online parameter estimation of permanent magnet synchronous machines is critical for improving their control performance and operational reliability. This paper provides an overview of the recent achievements of online parameter estimation of PMSMs with examples. The critical issues in parameter estimation are firstly analysed, especially the rank-deficient issue and inverter nonlinearities. Then, the stateof-the-art online parameter estimation modelling techniques are reviewed and assessed. Finally, some typical applications and examples are outlined, e.g. estimation of mechanical parameters, improvement of sensored and sensorless control performance, thermal condition monitoring, and fault diagnosis, together with future research trends.INDEX TERMS Condition monitoring, control performance, electrical parameter, fault diagnosis, mechanical parameter, online parameter estimation, permanent magnet synchronous machine, sensorless control.

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“…A method based on the 1st harmonic of ZSVC showed improved performance when compared to the 3rd harmonic of the stator currents in [95]. For detection of low severity interturn faults in [96], zero-sequence voltages are derived from the converter PWM pattern, and a method based on vector decomposition was proposed.…”

Section: Unbalanced Current Voltage and Power Signalsmentioning

confidence: 99%

Fault Detection and Condition Monitoring of PMSGs in Offshore Wind Turbines

Freire

Cardoso

2021

Machines

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Research on fault detection (FD) and condition monitoring (CM) of rotating electrical generators for modern wind turbines has addressed a wide variety of technologies. Among these, permanent magnet synchronous generators (PMSGs) and the analysis of their electromagnetic signatures in the presence of faults deserve emphasis in this paper. PMSGs are prominent in the offshore wind industry, and methods for FD and CM of PMSGs based on electromagnetic measurements are extensively discussed in academia. This paper is a concise review of FD and CM in wind turbines and PMSGs. Terminology and fundamentals of PMSG’s operation are introduced first, aiming to offer an easy read and good reference to a broad audience of engineers and data scientists. Experience and research challenges with stator winding failures are also discussed.

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Online Diagnosis of Slight Interturn Short-Circuit Fault for a Low-Speed Permanent Magnet Synchronous Motor

Cited by 21 publications

References 28 publications

Interturn Short Fault Diagnosis Using Magnitude and Phase of Currents in Permanent Magnet Synchronous Machines

Interturn Short Fault Diagnosis Using Magnitude and Phase of Currents in Permanent Magnet Synchronous Machines

Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview

Fault Detection and Condition Monitoring of PMSGs in Offshore Wind Turbines

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