Research on Bearing-gear Fault Diagnosis Method Based on Multiple Physical Quantities Fusion
Through the temperature, vibration, shock to synchronize or quasi synchronous acquisition, and using multi-source information fusion technology and improved D-S evidence theory, a bearing-gear fault diagnosis method based on multiple physical quantities information fusion of locomotives running gear...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Electric Drive for Locomotives
2015-01-01
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| Series: | 机车电传动 |
| Subjects: | |
| Online Access: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2015.02.021 |
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| _version_ | 1849728665021054976 |
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| author | ZENG Chengzhi YAO Xingjia TANG Deyao LI Helin |
| author_facet | ZENG Chengzhi YAO Xingjia TANG Deyao LI Helin |
| author_sort | ZENG Chengzhi |
| collection | DOAJ |
| description | Through the temperature, vibration, shock to synchronize or quasi synchronous acquisition, and using multi-source information fusion technology and improved D-S evidence theory, a bearing-gear fault diagnosis method based on multiple physical quantities information fusion of locomotives running gear was put forward. The research results show that the method for the diagnosis effect is better than a single physical quantity, improving the accuracy of diagnosis, and provides an effective means to further improving automation diagnosis. |
| format | Article |
| id | doaj-art-e39e023993054d0695372cb7c761865e |
| institution | DOAJ |
| issn | 1000-128X |
| language | zho |
| publishDate | 2015-01-01 |
| publisher | Editorial Department of Electric Drive for Locomotives |
| record_format | Article |
| series | 机车电传动 |
| spelling | doaj-art-e39e023993054d0695372cb7c761865e2025-08-20T03:09:28ZzhoEditorial Department of Electric Drive for Locomotives机车电传动1000-128X2015-01-01858920904979Research on Bearing-gear Fault Diagnosis Method Based on Multiple Physical Quantities FusionZENG ChengzhiYAO XingjiaTANG DeyaoLI HelinThrough the temperature, vibration, shock to synchronize or quasi synchronous acquisition, and using multi-source information fusion technology and improved D-S evidence theory, a bearing-gear fault diagnosis method based on multiple physical quantities information fusion of locomotives running gear was put forward. The research results show that the method for the diagnosis effect is better than a single physical quantity, improving the accuracy of diagnosis, and provides an effective means to further improving automation diagnosis.http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2015.02.021multiple physical quantities fusionD-S evidence theoryfault diagnosisrunning gear of the locomotivesprimary component featuresauxiliary component features |
| spellingShingle | ZENG Chengzhi YAO Xingjia TANG Deyao LI Helin Research on Bearing-gear Fault Diagnosis Method Based on Multiple Physical Quantities Fusion 机车电传动 multiple physical quantities fusion D-S evidence theory fault diagnosis running gear of the locomotives primary component features auxiliary component features |
| title | Research on Bearing-gear Fault Diagnosis Method Based on Multiple Physical Quantities Fusion |
| title_full | Research on Bearing-gear Fault Diagnosis Method Based on Multiple Physical Quantities Fusion |
| title_fullStr | Research on Bearing-gear Fault Diagnosis Method Based on Multiple Physical Quantities Fusion |
| title_full_unstemmed | Research on Bearing-gear Fault Diagnosis Method Based on Multiple Physical Quantities Fusion |
| title_short | Research on Bearing-gear Fault Diagnosis Method Based on Multiple Physical Quantities Fusion |
| title_sort | research on bearing gear fault diagnosis method based on multiple physical quantities fusion |
| topic | multiple physical quantities fusion D-S evidence theory fault diagnosis running gear of the locomotives primary component features auxiliary component features |
| url | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2015.02.021 |
| work_keys_str_mv | AT zengchengzhi researchonbearinggearfaultdiagnosismethodbasedonmultiplephysicalquantitiesfusion AT yaoxingjia researchonbearinggearfaultdiagnosismethodbasedonmultiplephysicalquantitiesfusion AT tangdeyao researchonbearinggearfaultdiagnosismethodbasedonmultiplephysicalquantitiesfusion AT lihelin researchonbearinggearfaultdiagnosismethodbasedonmultiplephysicalquantitiesfusion |