Fault Diagnosis Approach of Gear based on Two Features and Least Squares Support Vector Machine

Fault Diagnosis Approach of Gear based on Two Features and Least Squares Support Vector Machine

Aiming at the Gear vibration signals have the nonlinear and non-stationary characteristics,to avoid the disadvantages of traditional time and frequency domain method in the characterization of the state of equipment and failure identification model "less learning"problem caused by small sa...

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Bibliographic Details
Main Authors: Qin Bo, Yang Yunzhong, Chen Min, Guo Wei, Liu Yongliang, Wang Jianguo
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2016-01-01
Series:Jixie chuandong
Subjects:
IMF energy
Kurtosis
Least squares support vector machine
Gear
Fault diagnosis
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.06.028
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