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Life Analysis of Fan Spindle Bearing based on Grey Markov Algorithm

Volume 15, Number 2, February 2019, pp. 397-405
DOI: 10.23940/ijpe.19.02.p5.397405

Han Zhang, Jianxin Wu, Yiqiang Qiu, and Qiang Chen

College of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot, 010051, China

(Submitted on October 13, 2018; Revised on November 14, 2018; Accepted on December 21, 2018)

Abstract:

In order to improve the reliability and economic benefit of fan operation, a state estimation and residual life prediction method of fan spindle bearing based on grey Markov chain is proposed. Firstly, a grey distribution model of bearing wear condition of the wind turbine main shaft is established. Then, using the residual error correction (Markov prediction analysis method) and division of bearing wear state grade, which determines the state level interval limits, the main shaft bearing wear state transition probability is calculated and the state transition matrix of the Markov process is constructed. Finally, this method is used to calculate the life of the main shaft bearing of the wind turbine.

 

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