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: | ZENG Chengzhi, YAO Xingjia, TANG Deyao, LI Helin |
|---|---|
| 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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