|
| Planning of CSADT Based on D Optimization |
| Received:February 25, 2012 Revised:August 15, 2012 |
| View Full Text View/Add Comment Download reader |
| DOI： |
| KeyWord:accelerated degradation testing design of experiment D optimality robustness analysis |
| Author | Institution |
| HAN Shao-hua |
No.203 Research Institute of China Ordnance Industries， Xi′ an ， China |
| GE Zheng-zheng |
School of Reliability and System Engineering， Beihang University， Beijing ， China |
| JIANG Tong-min |
School of Reliability and System Engineering， Beihang University， Beijing ， China |
| LI Xiao-yang |
School of Reliability and System Engineering， Beihang University， Beijing ， China |
|
| Hits: |
| Download times: |
| Abstract: |
| Considering designers′interests in accuracy estimation of model parameters, D optimization was proposed to design CSADT (Constant Stress Accelerated Degradation Testing), while traditional optimization method aims at the prediction accuracy of parameters related to reliability and lifetime of products. Stochastic process was used to describe a typical CSADT problem. The optimization problem was established by defining Fisher information matrix based on log-likelihood function. Under the constraint that the total experimental cost does not exceed a predetermined budget, optimization test variables, including stress levels, sample size, and testing time, at each stress level are given. Simulation examples were presented to demonstrate the proposed method. Sensitivity analyses showed that the optimization plan is robust within acceptable difference from the assumed value of parameters. |
| Close |