access icon free Improved ZSVC-based fault detection technique for incipient stage inter-turn fault in PMSM

© The Institution of Engineering and Technology
Received 06/01/2019, Accepted 17/07/2019, Revised 01/07/2019, Published 22/07/2019

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.

Inspec keywords: harmonic analysis; fast Fourier transforms; stators; fault diagnosis; synchronous machines; discrete wavelet transforms; permanent magnet machines; machine theory

Other keywords: zero-sequence voltage component-based inter-turn fault detection method; fast Fourier transform; permanent-magnet synchronous machine; harmonic components; ZSVC-based fault detection technique; fault diagnosis method; stator current; PMSM; discrete wavelet transform

Subjects: Synchronous machines; Integral transforms

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