Using Simulated Annealing Embedded Modified Gauss-Newton Algorithm to identify parameters of nonlinear degradation model
High accuracy parameter identification is important to the life prediction by the degradation model. In this paper, the Simulated Annealing Embed Modified Gauss-Newton (SAEMGN) Algorithm is developed and has been applied in the degradation model parameters eliminating for Dielectric Resonator Oscillator (DRO). By comparing the local search and global search methods, we use the modified Gauss-Newton method as the local search embedded in the Simulated Annealing. Then, we established simulation model of a DRO in Step-Stress Accelerated Degradation Test to study the convergence properties of the algorithm. Numerical comparisons with MGN, SA, and Very Fast Simulated Annealing (VFSA) shows that the new algorithm could offer a higher accuracy solution with the error values is no more than 10_(20). This algorithm will help to further improve the life prediction accuracy and credibility.
simulated annealing degradation life prediction gauss-Newton nonttnear model
Yao Jinyong Su Haibo Li Xiaogang
Dept.of reliability and System Engineering Beijing University of Aeronautics and Astronautics Xue Yuan Road No.37,HaiDian District, Beijing, 100191, China
国际会议
太原
英文
653-656
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）