Experimental Investigations on Reliability Assessment Based on Hierarchical Maximum Entropy Bayesian Method
Owing to the influence of various factors,the vibration performance of rolling bearings is non-stationary degradation,and the reduction process possesses non-linear dynamic characteristics.Information,such as performance recession trajectory,probability distribution and vibration performance reliability function,varies with the movement process,which is difficult in analyzing using traditional reliability theory.So the hierarchical maximum entropy Bayesian method is proposed to establish a mathematical model,which is used to evaluate the vibration performance continuity reliability of rolling bearings under the condition of unknown priori information.A deep groove ball bearing(type SKF6205)is used as an example to perform an experiment investigation,which shows that the vibration performance continuity relative reliability of the rolling bearing keeps a reclining chair relationship with the wear diameter.The performance continuity reliability evaluation model has no requirements for the priori information of data samples,types and components of bearings.
rolling bearing vibration performance hierarchical maximum entropy Bayesian method performance continuity reliability priori information poor-information
Liang Ye Xintao Xia Zhen Chang
School of Mechanical Engineering,Northwestern Polytechnical University,Xian,China Mechatronical Engineering College,Henan University of Science and Technology,Luoyang,China Hangzhou Bearing Test & Research Center,Hangzhou,China
国际会议
西安
英文
407-411
2018-09-21（万方平台首次上网日期，不代表论文的发表时间）