Comparative Study of Adaptive Signal Decomposition Methods and Their Applications in Locomotive Rolling Element Bearing Fault Diagnosis
In order to extract the fault features effectively, a comparative study of adaptive signal decomposition methods was presented. The local mean computation, decomposed components and decomposition capacity of three conventional methods empirical mode decomposition, local mean decomposition and local...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Electric Drive for Locomotives
2017-01-01
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| Series: | 机车电传动 |
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| Online Access: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2017.04.023 |
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| _version_ | 1850186523730771968 |
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| author | WEI Yongzhao ZHAO Mingyuan YANG Jiangtian |
| author_facet | WEI Yongzhao ZHAO Mingyuan YANG Jiangtian |
| author_sort | WEI Yongzhao |
| collection | DOAJ |
| description | In order to extract the fault features effectively, a comparative study of adaptive signal decomposition methods was presented. The local mean computation, decomposed components and decomposition capacity of three conventional methods empirical mode decomposition, local mean decomposition and local characteristic-scale decomposition were analyzed and compared. Aiming at the problems of the local mean decomposition, an improved decomposition algorithm was proposed. The effectiveness of proposed improvements was testified by computer-generated signal. Furthermore, a fault diagnostic approach by jointly using improved LMD and -dimension spectrum was developed. The effectiveness and practicability of the proposed method was verified by DF4 locomotive running tests. |
| format | Article |
| id | doaj-art-d28e63b383f0458e8c7b43c705db9897 |
| institution | OA Journals |
| issn | 1000-128X |
| language | zho |
| publishDate | 2017-01-01 |
| publisher | Editorial Department of Electric Drive for Locomotives |
| record_format | Article |
| series | 机车电传动 |
| spelling | doaj-art-d28e63b383f0458e8c7b43c705db98972025-08-20T02:16:19ZzhoEditorial Department of Electric Drive for Locomotives机车电传动1000-128X2017-01-019120916836Comparative Study of Adaptive Signal Decomposition Methods and Their Applications in Locomotive Rolling Element Bearing Fault DiagnosisWEI YongzhaoZHAO MingyuanYANG JiangtianIn order to extract the fault features effectively, a comparative study of adaptive signal decomposition methods was presented. The local mean computation, decomposed components and decomposition capacity of three conventional methods empirical mode decomposition, local mean decomposition and local characteristic-scale decomposition were analyzed and compared. Aiming at the problems of the local mean decomposition, an improved decomposition algorithm was proposed. The effectiveness of proposed improvements was testified by computer-generated signal. Furthermore, a fault diagnostic approach by jointly using improved LMD and -dimension spectrum was developed. The effectiveness and practicability of the proposed method was verified by DF4 locomotive running tests.http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2017.04.023adaptive signal decompositionlocal mean decompositionbearingfault diagnoseDF4 locomotive |
| spellingShingle | WEI Yongzhao ZHAO Mingyuan YANG Jiangtian Comparative Study of Adaptive Signal Decomposition Methods and Their Applications in Locomotive Rolling Element Bearing Fault Diagnosis 机车电传动 adaptive signal decomposition local mean decomposition bearing fault diagnose DF4 locomotive |
| title | Comparative Study of Adaptive Signal Decomposition Methods and Their Applications in Locomotive Rolling Element Bearing Fault Diagnosis |
| title_full | Comparative Study of Adaptive Signal Decomposition Methods and Their Applications in Locomotive Rolling Element Bearing Fault Diagnosis |
| title_fullStr | Comparative Study of Adaptive Signal Decomposition Methods and Their Applications in Locomotive Rolling Element Bearing Fault Diagnosis |
| title_full_unstemmed | Comparative Study of Adaptive Signal Decomposition Methods and Their Applications in Locomotive Rolling Element Bearing Fault Diagnosis |
| title_short | Comparative Study of Adaptive Signal Decomposition Methods and Their Applications in Locomotive Rolling Element Bearing Fault Diagnosis |
| title_sort | comparative study of adaptive signal decomposition methods and their applications in locomotive rolling element bearing fault diagnosis |
| topic | adaptive signal decomposition local mean decomposition bearing fault diagnose DF4 locomotive |
| url | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2017.04.023 |
| work_keys_str_mv | AT weiyongzhao comparativestudyofadaptivesignaldecompositionmethodsandtheirapplicationsinlocomotiverollingelementbearingfaultdiagnosis AT zhaomingyuan comparativestudyofadaptivesignaldecompositionmethodsandtheirapplicationsinlocomotiverollingelementbearingfaultdiagnosis AT yangjiangtian comparativestudyofadaptivesignaldecompositionmethodsandtheirapplicationsinlocomotiverollingelementbearingfaultdiagnosis |