中国电力2017，Vol.50Issue(4)：141-145,5.DOI:10.11930/j.issn.1004-9649.2017.04.141.05
风机齿轮箱轴承状态评估与剩余寿命预测
Condition Assessment and Residual Life Prediction for Gearbox Bearing of Wind Turbine
摘要
Abstract
In order to improve reliability and economy of wind turbine,a method based on Markov chain is proposed.It is used for assessing operating condition and predicting residual life of gearbox bearing of wind turbine.Firstly,the degradation process of bearing wear status is described by Gamma distribution whose parameters can be estimated by using maximum likelihood estimation method.Secondly,the wear status of gearbox bearing are divided into four levels,and the corresponding upper and lower bounds of each level are also determined.Then,state transition probabilities are calculated to construct the state transition matrix.Finally,the proposed method is applied in simulation of wind turbine gearbox bearing.The simulation result verifies the effectiveness of presented method in determining the wear state and residual life of gearbox bearing of wind turbine.关键词
风机/齿轮箱轴承/状态评估/马尔科夫链/剩余寿命预测Key words
wind turbine/gearbox bearing/condition assessment/Markov chain/residual life prediction分类
信息技术与安全科学引用本文复制引用
赵洪山,张健平,高夺,李浪..风机齿轮箱轴承状态评估与剩余寿命预测[J].中国电力,2017,50(4):141-145,5.基金项目
国家自然科学基金资助项目(51277074)This work is supported by the National Natural Science Foundation of China (No.51277074). （51277074）
