FAULT DIAGNOSIS OF PLANETARY GEAR BOX BASED ON SENSITIVE TRANSIERT IMPACT FEATURE EXTRACTION AND HIERARCHICAL EXTREME LEARNING MACHINE

FAULT DIAGNOSIS OF PLANETARY GEAR BOX BASED ON SENSITIVE TRANSIERT IMPACT FEATURE EXTRACTION AND HIERARCHICAL EXTREME LEARNING MACHINE

In the intelligent diagnosis of planetary gearbox faults,the issue of "difficult extraction"of the vibration signal characteristics,the"quality difference"of the constructed eigenvector set and the"low precision"of the fault classification model based on the extreme lea...

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Bibliographic Details
Main Authors: QIN Bo, YIN Heng, WANG Zhuo, ZHAO WenJun, MA Tao, WANG JianGuo
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2020-01-01
Series:Jixie qiangdu
Subjects:
Sensitive feature extraction;Eigenvector set construction;Extreme learning machine;Planetary gearbox;Fault identification
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.02.004

Internet

http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.02.004

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