Research on Bearing-gear Fault Diagnosis Method Based on Multiple Physical Quantities Fusion

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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Summary: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.
ISSN:1000-128X

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