基于奇异值分解和支持向量机的齿轮故障诊断
For large equipment gear running environmental noise and lack of fault sample characteristics,the method of gears fault diagnosis based on singular value decomposition and support vector machine is proposed.Applications and advantages of the singular value decomposition of the signal feature extract...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2013-01-01
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| Series: | Jixie chuandong |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2013.09.013 |
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| Summary: | For large equipment gear running environmental noise and lack of fault sample characteristics,the method of gears fault diagnosis based on singular value decomposition and support vector machine is proposed.Applications and advantages of the singular value decomposition of the signal feature extraction is analyzed.Verified by experiments based on singular value decomposition and support vector machine gear fault diagnosis method can achieve quickly,accurately gears fault diagnosis. |
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| ISSN: | 1004-2539 |