Feature Extraction and Wear Damage Degree Identification of Planetary Gear based on PSO-FC Optimization KPCA

Feature Extraction and Wear Damage Degree Identification of Planetary Gear based on PSO-FC Optimization KPCA

When the planetary gear transmission system fails， its signal transmission is coupled with each other， and the nonlinear characteristic is presented， which makes the fault type and damage degree of the planetary gear to be difficultly recognized. The optimization mathematical model of the kernel fun...

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Bibliographic Details
Main Authors: Yan He, Zongyan Wang
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2019-01-01
Series:Jixie chuandong
Subjects:
Particle swarm optimization（PSO）;Kernel principal component analysis （KPCA）;Planetary gearbox;Damage degree identification;Fisher criterion
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.02.025

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http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.02.025

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