Life Prediction of Rolling Bearing Using Genetic Algorithm

被引：3

作者：

Chen, Peng ^{[1
]}

Koide, Yuki ^{[1
]}

Li, Ke ^{[1
]}

Satonaga, Noriaki ^{[2
]}

机构：

[1] Mie Univ, Grad Sch Bioresources, Tsu, Mie 5148507, Japan

[2] SHOWA DENKO Co Ltd, Toyama, Japan

来源：

INFORMATION TECHNOLOGY FOR MANUFACTURING SYSTEMS II, PTS 1-3 | 2011年 / 58-60卷

关键词：

Rolling bearing; Rotating machine; Life prediction; Genetic Algorithms;

D O I：

10.4028/www.scientific.net/AMM.58-60.2423

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Rolling bearing is the most part used in rotating machinery of industrial plant. The condition diagnosis technology of rolling bearing is very important and indispensable for the plant safety and operation stability. The purpose of this study is to improve the accuracy of the life prediction for a rolling bearing. The paper proposes a searching method for the optimum mathematic function for the high accurate prediction by using the genetic algorithms (GA).

引用

页码：2423 / +

页数：2

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