Study on reliability assessment method for Step-down-stress accelerated life test based on Bayesian theory

Author(s):  
Honghua Hu ◽  
Jun Yao ◽  
Jingyue Yang ◽  
Shuizhuang Miao ◽  
Shouzhen Wang
2014 ◽  
Vol 1037 ◽  
pp. 197-200
Author(s):  
Li Xia Yu ◽  
Li Qin ◽  
Meng Mei Wang

For high-reliability and long-lifetime product, it is difficult to assess the reliability with traditional accelerated life test that record only time to failure. Aiming to solve the problem of the previously, a reliability test and assessment method forecasting the life of samples based on degradation parameter was proposed. According to the working characteristic, the key parameter measuring performance degradation was selected. Based on statistical analysis methods, parameter degradation was designed and parameter degradation model was build. Combined with practical application background, the failure threshold was set and reliability assessment resultwas obtained. The method is applied to assessing reliability of micro gyroscope. The application shows that the method can achieve effective assessment, which can be used as similar products that are difficult to obtain the failure life data in a short time.


2019 ◽  
Vol 13 ◽  
Author(s):  
Xiangxiang Zhang ◽  
Jun Yang ◽  
Xuefeng Kong

Background: Multi-stress accelerated life test (MALT) has obtained increasing attention in reliability assessment due to its advantages. Started with constant-stress ALT with two stress variables, MALT has developed a lot during the past decades. In MALT, design of test plan and data analysis are two crucial aspects. Numerous researchers have discussed these two aspects and some important methods of planning and data analysis for MALT are presented. Methods: We first conducted a survey in the journal databases including Elsevier, Springer, IEEEXplore, Wiley and Taylor & Francis; and patent databases like Spacenet, USPTO and WIPO. Then we revised the literature including patents comprehensively on planning and analysis of multi-stress ALT. Results: Optimal designs for MALT under different stress loadings are summarized, and different types of statistical inference methods are categorized and introduced. Finally, some challenges and research trends are discussed for future study.


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