Paper Info
Title
Detection And Discrimination Of Incipient Stator Faults For Inverter-Fed Permanent Magnet Synchronous Machines
Abstract
The online detection of incipient faults for permanent magnet synchronous machine (PMSM) has been a great challenge in recent decades, where the fault features are extremely trivial and the machine fault type is normally unknown in advance. An online fault detection and discrimination of incipient faults for PMSM, including stator interturn short-circuit and resistive unbalance fault, is proposed in this article. First, zero-sequence voltage signal is collected and the zero-sequence voltage component (ZSVC) is used to detect the abnormal status of the PMSM. Then, high frequency (HF) signals are injected to the PMSM to discriminate the fault type. It shows that the amplitude of the HF component in ZSVC is proportional to the frequency of the injected signal under interturn short-circuit while it is constant under the resistive unbalance fault, and due to this difference, the fault type may be discriminated. Finally, the effectiveness of the theoretical analysis is validated by the simulation and experimental results.
Year
DOI
Venue
2021
10.1109/TIE.2020.3009563
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Keywords
DocType
Volume
Stator windings, Resistance, Harmonic analysis, Fault diagnosis, Rotors, Fault diagnosis, high-frequency (HF) signal injection, interturn short-circuit, resistive unbalance fault, zero-sequence voltage component (ZSVC)
Journal
68
Issue
ISSN
Citations 
8
0278-0046
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Jianzhong Zhang1657.24
Zheng Xu202.70
Jiayue Wang300.34
Jin Zhao403.72
Zaki ud Din500.34
Ming Cheng633947.21