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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Bibliographic Details
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
Series:	机车电传动
Subjects:	multiple physical quantities fusion D-S evidence theory fault diagnosis running gear of the locomotives primary component features auxiliary component features
Online Access:	http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2015.02.021
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Research on Bearing-gear Fault Diagnosis Method Based on Multiple Physical Quantities Fusion

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