题名 | Demagnetization Fault Diagnosis of PMSM Using Custom Phase Space Reconstruction Image |
作者 | |
通讯作者 | Long, Zhuo; Zhang, Xiaofei |
发表日期 | 2023
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DOI | |
发表期刊 | |
ISSN | 0018-9456
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EISSN | 1557-9662
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卷号 | 72 |
摘要 | In traditional one-dimensional (1-D) signal-based fault diagnosis methods, there are difficulties in signal feature extraction and complexities in adjusting model hyperparameters. Therefore, a demagnetization fault diagnosis method for permanent magnet synchronous motor (PMSM) using a custom phase space reconstruction (CPSR) image is proposed, which can be generalized to condition recognition. First, a CPSR method is proposed to reconstruct the magnetic leakage signal into a two-dimensional (2-D) data image. Second, to overcome the problem of poor diagnosability of high-dimensional shallow features in existing local feature extraction methods, an image feature coding (IFC) method is proposed, which can improve diagnostic performance through deep feature extraction and coding. Third, the improved autonomous learning multimodel constructs different fault data clouds with coded information, and realizes fault diagnosis according to the fuzzy rules of the data cloud. Four kinds of demagnetized fault motors were manufactured for experimental verification. The extensive experimental results demonstrate that the proposed method is effective. |
关键词 | |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
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学校署名 | 其他
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资助项目 | National Science Foundation of China[52077064]
; Key Research and Development Program of Hunan[2023GK2006]
; National Key Research and Development Program of China[2022YFF0608700]
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WOS研究方向 | Engineering
; Instruments & Instrumentation
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WOS类目 | Engineering, Electrical & Electronic
; Instruments & Instrumentation
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WOS记录号 | WOS:001053888300019
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出版者 | |
EI入藏号 | 20233314569758
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EI主题词 | Codes (symbols)
; Computerized tomography
; Extraction
; Failure analysis
; Fault detection
; Fuzzy inference
; Image enhancement
; Image reconstruction
; Permanent magnets
; Phase space methods
; Synchronous motors
; Time series analysis
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EI分类号 | Electric Components:704.1
; AC Motors:705.3.1
; Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory:721.1
; Data Processing and Image Processing:723.2
; Expert Systems:723.4.1
; Computer Applications:723.5
; Chemical Operations:802.3
; Mathematics:921
; Mathematical Statistics:922.2
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ESI学科分类 | ENGINEERING
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来源库 | Web of Science
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引用统计 |
被引频次[WOS]:6
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/553550 |
专题 | 工学院 |
作者单位 | 1.Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Peoples R China 2.Changsha Univ Sci & Technol, Coll Elect & Informat Engn, Changsha 410004, Peoples R China 3.South Univ Sci & Technol, Coll Engn, Shenzhen 518055, Peoples R China |
推荐引用方式 GB/T 7714 |
Xie, Jinping,Long, Zhuo,Zhang, Xiaofei,et al. Demagnetization Fault Diagnosis of PMSM Using Custom Phase Space Reconstruction Image[J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2023,72.
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APA |
Xie, Jinping,Long, Zhuo,Zhang, Xiaofei,Qin, Guojun,Huang, Fengqin,&Rao, Zhimeng.(2023).Demagnetization Fault Diagnosis of PMSM Using Custom Phase Space Reconstruction Image.IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,72.
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MLA |
Xie, Jinping,et al."Demagnetization Fault Diagnosis of PMSM Using Custom Phase Space Reconstruction Image".IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 72(2023).
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条目包含的文件 | 条目无相关文件。 |
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