Reliability Evaluation for Mechatronic Equipment Truncation Life Data Based on the Weibull Distribution Model

被引:1
|
作者
Zhou, Ruixiang [1 ]
Zhang, Jin [1 ]
Shang, Bolin [1 ]
机构
[1] Air Force Engn Univ, Xian 710038, Peoples R China
关键词
Mechatronic equipment; Random truncation; Correlation coefficient; Monte Carlo simulation; Reliability evaluation;
D O I
10.1007/978-3-642-54236-7_14
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Based on a small commercial aircraft mechatronic equipment field data which were collected, we made use of three-parameter Weibull distribution model to analyze the fault data, and theoretically studied the random censoring data preprocessing method, correlation coefficient optimization method, and the least square method combined with parameter estimation method in detail, and circularly solved the example in MATLAB by programming. We used the K-S test method and Monte Carlo simulation to test the result of reliability evaluation. The results show that this paper has put forward the model that properly fits the mechatronic equipment field data, and the calculation process is rigorous with strong operability. This model can be used to accurately obtain the mechatronic equipment reliability distribution, failure rate distribution, and to provide a scientific basis for improvement of equipment and its repair method.
引用
收藏
页码:123 / 131
页数:9
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