Detection and Discrimination of Incipient Stator Faults for Inverter-Fed Permanent Magnet Synchronous Machines

Zhang, Jianzhong; Zheng, Xu; Wang, Jiayue; Zhao, Jin; Din, Zakiud; Cheng, Ming

doi:10.1109/tie.2020.3009563

Cited by 49 publications

(15 citation statements)

References 25 publications

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“…In recent years, the papers in which authors proposed the use of ZSVC spectral analysis using FFT for the detection of PMSM stator winding faults were also published [59]- [64]. The research discussed in [59] shows that the first, 5th and 7th harmonics of the ZSVC spectrum are the components whose monitoring allows for the detection of the ITSCs in the PMSM stator winding.…”

Section: A Frequency Domain Methodsmentioning

confidence: 99%

“…The interesting approach is presented in [63] where the novel VKF-OT algorithm is introduced and applied to track the 3th harmonic of stator phase current and first one of the ZSVC for on-line detection of this failure. The another effective on-line ITSC detection algorithm based on the ZSVC and HF signal injection is proposed in [64]. There, ZVSC is used to detect the abnormal state of the PMSM drive, and then the HF current signals are injected to discriminate between the ITSC and resistive unbalance fault.…”

Section: A Frequency Domain Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges

et al. 2022

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The issues of monitoring and fault diagnosis of drives with permanent magnet synchronous motors (PMSM) are currently very topical due to the increasing use of these drives in safety-critical devices. Every year, more and more articles on this subject are published. Therefore, the aim of this article is to update the overview of diagnostic methods and techniques for PMSM drives. Each of the main chapters of the article focuses on a specific element of the drive system (motor, power converter, measuring sensors), with particular emphasis on the components of the motor (stator windings, magnets, bearings, rotor). The main sections on PMSM fault diagnosis are divided according to the type of methods used to obtain the symptoms of the damage. In addition, a review of methods using the analysis of control structure signals for the diagnosis of damage to a vector-controlled motor is presented, as well as the latest achievements of researchers in the field of shallow and deep neural networks for the detection and classification of PMSM drives failures. Based on the presented literature analyses, some development trends and challenges related to the development of diagnostics and fault-tolerant control of PMSM drives are discussed in the conclusion part.

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Section: A Frequency Domain Methodsmentioning

confidence: 99%

Section: A Frequency Domain Methodsmentioning

confidence: 99%

Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges

et al. 2022

View full text Add to dashboard Cite

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“…As an alternative to the injection of an additional HF signal, the current ripple due to PWM is exploited in [119]. The discrimination between high-resistance connections and interturn faults was addressed by means of multiple HF signals in [120], and by analyzing the symmetry of HF currents in [121].…”

Section: Signal Injectionmentioning

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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“…Nevertheless, the access to the neutral point of the stator winding is needed for this method. The effective on-line ITSC detection algorithm based on the ZSVC and high frequency (HF) signal injection is proposed in Zhang et al (2021). There, ZVSC is used to detect the abnormal state of the PMSM drive, and then, the HF current signals are injected to discriminate between the ITSC and resistive unbalance fault.…”

Section: Introductionmentioning

confidence: 99%

Stator Winding Fault Detection of Permanent Magnet Synchronous Motors Based on the Short-Time Fourier Transform

Pietrzak

Wolkiewicz

2022

Power Electronics and Drives

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In modern drive systems, the high-efficient permanent magnet synchronous motors (PMSMs) have become one of the most substantial components. Nevertheless, such machines are exposed to various types of faults. Hence, on-line condition monitoring and fault diagnosis of PMSMs have become necessary. One of the most common PMSM faults is the stator winding fault. Due to the destructive character of this failure, it is necessary to use fault diagnostic methods that allow fault detection at its early stage. The article presents the results of experimental studies obtained from fast Fourier transform (FFT) and short-time Fourier transform (STFT) analyses of the stator phase current, stator phase current envelope and stator phase current space vector module. The superiority of the proposed method over the classical approach based on the stator current analysis using FFT is highlighted. The proposed solution is experimentally verified under various motor operating conditions. The application of STFT analysis discussed so far in the literature has been limited to the fault diagnosis of induction motors and the narrow range of the analysed motor operating conditions. Moreover, there are no works in the field of motor diagnostics dealing with STFT analysis for stator windings based on the stator current envelope and the stator current space vector module.

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Detection and Discrimination of Incipient Stator Faults for Inverter-Fed Permanent Magnet Synchronous Machines

Cited by 49 publications

References 25 publications

Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges

Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges

Fault Detection and Condition Monitoring of PMSGs in Offshore Wind Turbines

Stator Winding Fault Detection of Permanent Magnet Synchronous Motors Based on the Short-Time Fourier Transform

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