NDLI: Improved ZSVC-based fault detection technique for incipient stage inter-turn fault in PMSM

Content Provider	IET Digital Library
Author	Fang, Jie Sun, Yining Wang, Yibing Wei, Baolei Hang, Jun
Abstract	Fault detection plays an important role in providing reliable operation for permanent-magnet synchronous machine (PMSM). The inter-turn fault is one of the most common faults for the PMSM. Hence, this study focuses on the incipient stage inter-turn fault detection. An improved zero-sequence voltage component-based (ZSVC) inter-turn fault detection method is proposed. In the proposed method, discrete wavelet transform is first applied to remove the noise and harmonic components in the ZSVC for highlighting the fault characteristic component. Then, fast Fourier transform is used to analyse the obtained signal for the inter-turn fault detection. In addition, to show the performance of the proposed method, the commonly used fault detection based on stator current is studied. The effectiveness of the proposed fault diagnosis method is validated by the simulation and experimental results, showing that the proposed method has good performance for the incipient stage inter-turn fault diagnosis.
Starting Page	2015
Ending Page	2026
Page Count	12
ISSN	17518660
Volume Number	13
e-ISSN	17518679
Issue Number	Issue 12, Dec (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-epa/13/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-epa.2019.0016
Journal	IET Electric Power Applications
Publisher Date	2019-07-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Discrete Wavelet Transform Fast Fourier Transform Fault Diagnosis Fault Diagnosis Method Harmonic Analysis Harmonic Component Integral Transforms Machine Theory Permanent Magnet Machine Permanent-magnet Synchronous Machine PMSM Stator Current Stators Synchronous Machine Zero-sequence Voltage Component-based Inter-turn Fault Detection Method ZSVC-based Fault Detection Technique
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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