Reliability modeling and a statistical inference method of accelerated degradation testing with multiple stresses and dependent competing failure processes

2021 ◽  
Vol 213 ◽  
pp. 107648
Author(s):  
Yao Liu ◽  
Yashun Wang ◽  
Zhengwei Fan ◽  
Guanghan Bai ◽  
Xun Chen
Keyword(s):  
Statistical Inference ◽  
Inference Method ◽  
Multiple Stresses ◽  
Reliability Modeling ◽  
Accelerated Degradation ◽  
Accelerated Degradation Testing ◽  
Degradation Testing

A time-varying copula-based prognostics method for bivariate accelerated degradation testing

2018 ◽  
Vol 34 (6) ◽  
pp. 3707-3718 ◽  
Author(s):  
Fuqiang Sun ◽  
Ning Wang ◽  
Xiaoyang Li ◽  
Yuanyuan Cheng
Keyword(s):  
Time Varying ◽  
Accelerated Degradation ◽  
Accelerated Degradation Testing ◽  
Degradation Testing

scholarly journals Model Uncertainty in Accelerated Degradation Testing Analysis

2017 ◽  
Vol 66 (3) ◽  
pp. 603-615 ◽  
Author(s):  
Le Liu ◽  
Xiao-Yang Li ◽  
Enrico Zio ◽  
Rui Kang ◽  
Tong-Min Jiang
Keyword(s):  
Model Uncertainty ◽  
Accelerated Degradation ◽  
Accelerated Degradation Testing ◽  
Degradation Testing

Bayesian optimal design of step stress accelerated degradation testing

2015 ◽  
Vol 26 (3) ◽  
pp. 502-513 ◽  
Author(s):  
Xiaoyang Li ◽  
Mohammad Rezvanizaniani ◽  
Zhengzheng Ge ◽  
Mohamed Abuali ◽  
Jay Lee
Keyword(s):  
Optimal Design ◽  
Accelerated Degradation ◽  
Bayesian Optimal Design ◽  
Accelerated Degradation Testing ◽  
Degradation Testing

Triangular cyclic accelerated degradation zero-failure test plan

2019 ◽  
Vol 36 (3) ◽  
pp. 358-377 ◽  
Author(s):  
Preeti Wanti Srivastava ◽  
Manisha Manisha
Keyword(s):  
Sensitivity Analysis ◽  
Change Point ◽  
Stress Change ◽  
Optimum Number ◽  
Content Type ◽  
Accelerated Degradation ◽  
Accelerated Degradation Testing ◽  
Optimum Plan ◽  
Number Of Cycles ◽  
Degradation Testing

Purpose Zero-failure reliability testing aims at demonstrating whether the product has achieved the desired reliability target with zero failure and high confidence level at a given time. Incorporating accelerated degradation testing in zero-failure reliability demonstration test (RDT) facilitates early failure in high reliability items developed within short period of time to be able to survive in fiercely competitive market. The paper aims to discuss these issues. Design/methodology/approach The triangular cyclic stress uses one test chamber thus saving experimental cost. The parameters in model are estimated using maximum likelihood methods. The optimum plan consists in finding out optimum number of cycles, optimum specimens, optimum stress change point(s) and optimum stress rates. Findings The optimum plan consists in finding out optimum number of cycles, optimum specimens, optimum stress change point(s) and optimum stress rates by minimizing asymptotic variance of estimate of quantile of the lifetime distribution at use condition subject to the constraint that total testing or experimental cost does not exceed a pre-specified budget. Confidence intervals of the design parameters have been obtained and sensitivity analysis carried out. The results of sensitivity analysis show that the plan is robust to small deviations from the true values of baseline parameters. Originality/value For some highly reliable products, even accelerated life testing yields little failure data of units in a feasible amount of time. In such cases accelerated degradation testing is carried out, wherein the failure termed as soft failure is defined in terms of performance characteristic of the product exceeding its critical (threshold) value.

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