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Fault diagnosis of mechanical unbalance for permanent magnet synchronous motor drive system under nonstationary condition
Abstract
Motor current signature analysis based on Fast Fourier Transform (FFT) has been successfully used in a permanent magnet synchronous motor (PMSM) drive system for fault diagnosis. However, the method does not always achieve good results according to two aspects. Firstly, the amplitudes of fault harmonic components are quiet small compared with the fundamental amplitude if the fault severity is small. Then fault characters are likely to be hidden and difficult to be distinguished in the stator current. Secondly, as the speed is not constant and this causes variation on the fault characteristic frequencies where FFT is no longer suitable. This paper presents a novel method to diagnose the mechanical unbalance for a PMSM drive system under nonstationary condition, which is based on Park's vector and discrete wavelet transform. Simulations are carried out in the PMSM drive system based on MATLAB/Simulation and fault indicators are successfully extracted from the square of the stator current Park's vector modulus. The simulation results show that the proposed method can effectively detect the mechanical unbalance fault in the PMSM drive system under nonstationary condition, and the method is suitable for different control strategies.
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In [165] and [166], DWT analysis of Park-transformed stator current confirmed effectiveness for unbalance detection under non-stationary conditions by simulation and experiments.
“The effectiveness of this method was confirmed by simulation and experimental results carried out under non-stationary conditions.”
From Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges (2022) · cites this paper as [166]
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Metadata
- Authors
- Hang, J., Zhang, J., Cheng, M., & Wang, Z.
- Affiliations
- Southeast University (CN)
- Venue
- 2013 IEEE Energy Conversion Congress and Exposition
- Publisher
- IEEE
- Published
- 2013-09
- Pages
- 3556-3562
- OpenAlex
- W2025703330
- Cited by
- 36
- References
- 24
- Citations by year
- 2026: 2 · 2024: 4 · 2023: 4 · 2022: 4 · 2021: 2 · 2020: 4 · 2019: 3 · 2018: 2 · 2017: 2 · 2016: 2 · 2015: 5 · 2014: 2
- FWCI
- 4.10
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Energy Conversion Congress and Exposition (ECCE) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Sensorless Control of Electric Motors
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Motor Design and Analysis
- Keywords
- permanent magnet synchronous motor, fault diagnosis, discrete wavelet transform, stator current, variable speed, fault characteristic frequency, motor drives
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