摘要
针对航空机电产品寿命长、可靠性高等特点,通过设计加速贮存试验,对产品性能退化数据进行了建模分析,对机电产品寿命进行了预测。提出了一种预试验与正式试验相结合的加速贮存试验方案,根据产品性能退化数据建立了性能参数的非线性退化模型;使用似然比检验确定了伪寿命分布,并计算了试验温度下的寿命,通过阿伦尼斯模型得到了常温贮存寿命;最后,经失效机理一致性检验验证了试验方案的有效性。使用上述方法对某型高速电机进行了试验验证及寿命评估。研究结果表明:所提出的加速贮存试验方案可大幅缩短试验时间,提高试验效率和数据有效性;所用数据分析方法可精确拟合性能退化轨迹和伪寿命分布模型,寿命评估结果具有可信性。
Aiming at the characteristics of long life and high reliability of aviation electromechanical products,the accelerated storage test was designed,and the performance degradation data was modeled and analyzed to predict the service life of electromechanical products.A new accelerated storage test scheme combining pre-test and formal test was proposed.According to the product performance degradation data,the nonlinear degradation model of performance parameters was established.The pseudo life distribution was determined by likelihood ratio test,and the life under test temperature was calculated.The storage life at room temperature was obtained by Arrhenius model.Finally,the effectiveness of the test scheme was verified by the failure mechanism consistency test.The test verification and life evaluation of a certain type of high-speed motor were carried out by using the above method.The results show that the proposed accelerated storage test scheme can significantly shorten the test time,improve the test efficiency and data validity,and the data analysis method can accurately fit the performance degradation trajectory and pseudo life distribution model of products,and the life evaluation results are reliable.
作者
张文广
贺东旭
李浩瀚
马艳华
张会平
ZHANG Wen-guang;HE Dong-xu;LI Hao-han;MA Yan-hua;ZHANG Hui-ping(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China;School of Microelectronics,Dalian University of Technology,Dalian 116024,China;Beijing Remote Sensing Equipment Research Institute,Beijing 100039,China)
出处
《机电工程》
CAS
北大核心
2021年第5期528-535,共8页
Journal of Mechanical & Electrical Engineering
基金
国家自然科学基金资助项目(61903061)。
关键词
机电产品
加速贮存试验
贮存寿命
可靠性
似然比检验
electromechanical products
accelerated storage test
storage life
reliability
likelihood ratio test