Theory and Method for Simulation Evaluation of Accelerated Degradation Test Plan Based on Multiple Performance Parameters

2013 ◽  
Vol 432 ◽  
pp. 294-299
Author(s):  
Jun Pan ◽  
Meng Wang ◽  
Wen Hua Chen ◽  
Rui Min Xu

For reasonable evaluating problem of accelerated degradation test (ADT) based on multiple performance parameters, according to proposed simulation evaluation rule of ADT plans, taking variance mean and standard deviation of product reliability estimate as evaluation criteria of test plans accuracy and stability, the numerical simulation and simulation evaluation method for ADT plan based on multiple performance parameters are established. Simultaneously, by using maximum likelihood estimation (MLE) theory, the mathematic model for simulation evaluation of ADT based on multiple performance parameters is established. The simulation evaluation result of Nitrile Butadiene Rubber (NBR) O-ring accelerated degradation test plan shows that compared with the traditional test plan, the optimized test plan can improve estimated accuracy and stability.

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Ping Qian ◽  
Lei Hong ◽  
Wenhua Chen ◽  
Yongwang Qian ◽  
Zhe Wang ◽  
...  

Accelerated degradation test is an effective method to evaluate the reliability of products with long life and high reliability. The performance of most products fluctuates randomly in the degradation process, so it is suitable to use Wiener process. At present, the diffusion coefficient is regarded as constant in Wiener process, while the drift coefficient is related to stress. However, in practice, the amplitude of product performance fluctuation increases with the increase of stress level, which is not constant. Therefore, for the nonlinear Wiener case where both the drift coefficient and the diffusion coefficient are stress dependent, this paper studies the constant-stress accelerated degradation test theories and methods. Taking the contact pairs of electrical connectors as the research object, the minimum variance of reliable life estimate under normal stress is taken as the target. After determining the censored time at each stress level, the test stress level, the sample distribution ratio at each stress level, and the test interval at the one-third power scale of time are taken as design variables. The test plan under 3, 4, and 5 stress levels is optimized and compared with the general test plan. The influence of the difference between high and low stress levels on the evaluation accuracy is analyzed. Finally, the sensitivity analysis of parameters shows that the optimization plan has good robustness, and the change of stress quantity has little influence on the robustness of the plan.


2016 ◽  
Vol 65 (1) ◽  
pp. 459-468 ◽  
Author(s):  
Tzong-Ru Tsai ◽  
Wen-Yun Sung ◽  
Y. L. Lio ◽  
Shing I. Chang ◽  
Jye-Chyi Lu

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