Life Prediction of Rolling Bearing Using Genetic Algorithm

Peng Chen; Yuki Koide; Ke Li; Noriaki Satonaga

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 58-60Life Prediction of Rolling Bearing Using Genetic...

Life Prediction of Rolling Bearing Using Genetic Algorithm

Abstract:

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).

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Periodical:

Applied Mechanics and Materials (Volumes 58-60)

Pages:

2423-2427

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.58-60.2423

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Online since:

June 2011

Authors:

Peng Chen, Yuki Koide, Ke Li, Noriaki Satonaga

Keywords:

Genetic Algorithm (GA), Life Prediction, Rolling Bearing, Rotating Machine

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References

[1] Riadh ZAIER, Peng CHEN, Norihiro ABE, Toshio TOYOTA: Optimal Periodic Inspection And Replacement Strategy for Plant Machinery by Reliability Theory And Genetic Algorithms, Journal of the Society of Plant Engineers Japan, Vol. 16, No. 4 (2005).

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[2] L. DAVIS, Handbook of Genetic Algorithms, van No-strand Reinhold, A Division of Wadsworth, Inc, (1990).

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