摘要
针对有试验性能退化量参数记录、且(或)有部分数据缺失情况的小样本无失效轴承试验问题,通过由Taylor和Thompson提出的数据模拟法实现补全样本退化量,结合Bootstrap自助法扩大样本量,再根据基于性能退化轨迹的补充信息方法来进行其可靠性评估。选取7组受试轴承的振动退化量,对比在完整数据和带有缺失数据情况下的分析结果,发现可合理利用原舍弃不合规试验的部分有效信息,使之增加可靠性评估的样本数,从而得到较不用这些数据更为准确的结果,且所得结果较用完整数据结果绝对值相差在0.1以内。对比由极大似然估计法和加权E-Bayes法分析试验寿命数据的结果,发现该方法所得评估结果更优,与试验实际相比误差在10%以内,对于提高评估精度及降低试验成本有积极的实际意义。
A reliability assessment with incomplete performance degradation data under small and non-failure samples was made. A data-based random number simulation method proposed by Taylor and Thompson was used to complete the missing sample degradation data,the Bootstrap method was used to expand the sample size,and the reliability assessment of the bearings was analyzed based on the degradation trajectory-based method. The vibration degradation of 7 groups of tested bearings was selected and analyzed under the conditions of complete and incomplete performance degradation data,respectively. It was found that the method proposed can obtain accurate reliability assessment and the absolute value difference between two results was controlled within 0.1. The above results were compared with the results obtained by analyzing the lifetime data through the weighted E-Bayes method and the maximum likelihood estimation. It was found that the results obtained by the method were better,and the actual error was within 10% compared with the actual test,showing positive practical significance for improving the evaluation accuracy and reducing the test cost.
作者
许凌天
沈雪瑾
蒋爽
陈晓阳
XU Lingtian;SHEN Xuejin;JIANG Shuang;CHEN Xiaoyang(School of Mechanical and Electrical Engineering and Automation,Shanghai University,Shanghai 200444,China;Technology Center,Shanghai Tianan Bearing Corporation Limited,Shanghai 201108,China)
出处
《航空动力学报》
EI
CAS
CSCD
北大核心
2020年第9期1977-1987,共11页
Journal of Aerospace Power
基金
国家“十二五”规划项目上海大学子项(D.50-0109-15-001)。
