Regression Trend Prediction of Rolling Bearing Performance based on Integrated Soft Competition ART

Regression Trend Prediction of Rolling Bearing Performance based on Integrated Soft Competition ART

In order to improve the accuracy and stability of rolling bearing performance prediction,a prediction method combining soft predictive ART-RBF integrated forecasting model and confidence CV value is proposed. The soft ART is introduced into the RBF neural network to establish the soft ART-RBF neural...

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Bibliographic Details
Main Authors: Zhao Qiankun, Wan Xiaojin, Xu Zengbing, Wang Kai, Li Qinglei
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2018-01-01
Series:Jixie chuandong
Subjects:
Soft ART-RBF
Self-organizing mapping network
Confidence value
Rolling bearing
Prediction
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.01.028
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http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.01.028

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