Fault Diagnosis of Roller Bearing based on Hybrid Feature Set and Weighted KNN

Fault Diagnosis of Roller Bearing based on Hybrid Feature Set and Weighted KNN

Aiming at the problem that the roller bearings early fault features are faint that difficult to be effectively identified,a fault diagnosis method of roller bearing based on hybrid feature set and weighted K- nearest- neighbor（ KNN） is proposed. Firstly,those early fault features of roller bearing a...

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Bibliographic Details
Main Authors: Chen Fafa, Li Mian, Chen Baojia, Chen Congping
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2016-01-01
Series:Jixie chuandong
Subjects:
Hybrid feature set
Weighted K-nearest-neighbor
Roller bearing
Fault diagnosis
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.08.031
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