On-Line Stator Fault Diagnosis in Line-Start Permanent Magnet Synchronous Motors

2018 ◽  
Author(s):  
D. S. B. Fonseca ◽  
Carlos M. C. Santos ◽  
Antonio J. Marques Cardoso
Keyword(s):  
Fault Diagnosis ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors ◽  
On Line ◽  
Stator Fault

A Wavelet-Based Fault Diagnosis Approach for Permanent Magnet Synchronous Motors

2019 ◽  
Vol 34 (2) ◽  
pp. 761-772 ◽  
Author(s):  
Mehrdad Heydarzadeh ◽  
Mohsen Zafarani ◽  
Mehrdad Nourani ◽  
Bilal Akin
Keyword(s):  
Fault Diagnosis ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors ◽  
Diagnosis Approach

scholarly journals Review of intelligent fault diagnosis for permanent magnet synchronous motors in electric vehicles

2020 ◽  
Vol 12 (7) ◽  
pp. 168781402094432
Author(s):  
Xiaowei Xu ◽  
Xue Qiao ◽  
Nan Zhang ◽  
Jingyi Feng ◽  
Xiaoqing Wang
Keyword(s):  
Fault Diagnosis ◽  
Permanent Magnet ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Health Management ◽  
Development Trend ◽  
Operating Conditions ◽  
Intelligent Fault Diagnosis ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors

Permanent magnet synchronous motors are the main power output components of electric vehicles. Once a failure occurs, it will affect the vehicle’s power, stability, and safety. While as a complex field-circuit coupling system composed of machine-electric-magnetic-thermal, the permanent magnet synchronous motor of electric vehicle has various operating conditions and complicated condition environment. There are various forms of failure, and the signs of failure are crossed or overlapped. Randomness, secondary, concurrency, and communication characteristics make it difficult to diagnose faults. Based on the research of a list of related references, this article reviews the methods of intelligent fault diagnosis for electric vehicle permanent magnet synchronous motors. The research status and development trend of fault diagnosis are analyzed. It provides theoretical basis for motor fault diagnosis and health management in multi-variable working conditions and multi-physics environment.

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