Five-Phase PMSM Fault-Diagnostic Strategy Based on Symmetrical Component Method for Weak Inter-Turn Short-Circuit Fault

This paper proposes a fault-diagnostic strategy based on the symmetrical component method for the weak inter-turn short-circuit fault which is more likely to occur during the actual operation of the five-phase permanent magnet synchronous machines (PMSMs). Based on the proposed strategy, the fault characteristics of the machine under weak inter-turn short-circuit fault are obtained. The effects of diagnostic strategy based on different fault characteristics are studied. The influence of changes in working conditions on diagnostic strategy is analyzed. The second harmonic of the negative sequence current is selected as fault characteristics.

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Published
2024-11-26
DOI
https://doi.org/10.23919/icems60997.2024.10921324
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
0.00

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Five-Phase PMSM Fault-Diagnostic Strategy Based on Symmetrical Component Method for Weak Inter-Turn Short-Circuit Fault

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article

Five-Phase PMSM Fault-Diagnostic Strategy Based on Symmetrical Component Method for Weak Inter-Turn Short-Circuit Fault

Xiaoying Qiu, Ziyu Zhou, Qifan Xiao, Ping Zheng, Mingqiao Wang, Wei Liu
article en

Abstract

This paper proposes a fault-diagnostic strategy based on the symmetrical component method for the weak inter-turn short-circuit fault which is more likely to occur during the actual operation of the five-phase permanent magnet synchronous machines (PMSMs). Based on the proposed strategy, the fault characteristics of the machine under weak inter-turn short-circuit fault are obtained. The effects of diagnostic strategy based on different fault characteristics are studied. The influence of changes in working conditions on diagnostic strategy is analyzed. The second harmonic of the negative sequence current is selected as fault characteristics.

Harbin Institute of Technology (CN)
China Postdoctoral Science Foundation, Fundamental Research Funds for the Central Universities
Climate action
Openalex Percentile: Top 64%
Power Systems Fault Detection
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