A Review of Modeling and Diagnostic Techniques for Eccentricity Fault in Electric Machines
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 ecce...
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MDPI AG
2021-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/14/4296 |
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doaj-8e1ab153398c448fb2c1e255e7bf041a2021-07-23T13:39:09ZengMDPI AGEnergies1996-10732021-07-01144296429610.3390/en14144296A Review of Modeling and Diagnostic Techniques for Eccentricity Fault in Electric MachinesZijian Liu0Pinjia Zhang1Shan He2Jin Huang3Key Laboratory of Vehicle Transmission, China North Vehicle Research Institute, Beijing 100072, ChinaDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Energy Technology, Aalborg University, DK-9220 Aalborg East, DenmarkCollege of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaResearch 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.https://www.mdpi.com/1996-1073/14/14/4296fault diagnosisrotoreccentricityelectric machine |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Zijian Liu Pinjia Zhang Shan He Jin Huang |
| spellingShingle |
Zijian Liu Pinjia Zhang Shan He Jin Huang A Review of Modeling and Diagnostic Techniques for Eccentricity Fault in Electric Machines Energies fault diagnosis rotor eccentricity electric machine |
| author_facet |
Zijian Liu Pinjia Zhang Shan He Jin Huang |
| author_sort |
Zijian Liu |
| title |
A Review of Modeling and Diagnostic Techniques for Eccentricity Fault in Electric Machines |
| title_short |
A Review of Modeling and Diagnostic Techniques for Eccentricity Fault in Electric Machines |
| title_full |
A Review of Modeling and Diagnostic Techniques for Eccentricity Fault in Electric Machines |
| title_fullStr |
A Review of Modeling and Diagnostic Techniques for Eccentricity Fault in Electric Machines |
| title_full_unstemmed |
A Review of Modeling and Diagnostic Techniques for Eccentricity Fault in Electric Machines |
| title_sort |
review of modeling and diagnostic techniques for eccentricity fault in electric machines |
| publisher |
MDPI AG |
| series |
Energies |
| issn |
1996-1073 |
| publishDate |
2021-07-01 |
| description |
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. |
| topic |
fault diagnosis rotor eccentricity electric machine |
| url |
https://www.mdpi.com/1996-1073/14/14/4296 |
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