LAPSE:2023.33714
Published Article
LAPSE:2023.33714
A Review of Modeling and Diagnostic Techniques for Eccentricity Fault in Electric Machines
Zijian Liu, Pinjia Zhang, Shan He, Jin Huang
April 24, 2023
Research on the modeling and fault diagnosis of rotor eccentricities has been conducted during the past two decades. A variety of diagnostic theories and methods have been proposed based on different mechanisms, and there are reviews following either one type of electric machines or one type of eccentricity. Nonetheless, the research routes of modeling and diagnosis are common, regardless of machine or eccentricity types. This article tends to review all the possible modeling and diagnostic approaches for all common types of electric machines with eccentricities and provide suggestions on future research roadmap. The paper indicates that a reliable low-cost non-intrusive real-time online visualized diagnostic method is the trend. Observer-based diagnostic strategies are thought promising for the continued research.
Keywords
eccentricity, electric machine, fault diagnosis, rotor
Suggested Citation
Liu Z, Zhang P, He S, Huang J. A Review of Modeling and Diagnostic Techniques for Eccentricity Fault in Electric Machines. (2023). LAPSE:2023.33714
Author Affiliations
Liu Z: Key Laboratory of Vehicle Transmission, China North Vehicle Research Institute, Beijing 100072, China
Zhang P: Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
He S: Department of Energy Technology, Aalborg University, DK-9220 Aalborg East, Denmark [ORCID]
Huang J: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Journal Name
Energies
Volume
14
Issue
14
First Page
4296
Year
2021
Publication Date
2021-07-16
Published Version
ISSN
1996-1073
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PII: en14144296, Publication Type: Review
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LAPSE:2023.33714
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doi:10.3390/en14144296
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Apr 24, 2023
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