title: Stochastic Modeling and Analysis of Multiple Nonlinear Accelerated Degradation Processes through Information Fusion.
abstract: Accelerated degradation testing (ADT) is an efficient technique for evaluating the lifetime of a highly reliable product whose underlying failure process may be traced by the degradation of the product's performance parameters with time. However, most research on ADT mainly focuses on a single performance parameter. In reality, the performance of a modern product is usually characterized by multiple parameters, and the degradation paths are usually nonlinear. To address such problems, this paper develops a new s-dependent nonlinear ADT model for products with multiple performance parameters using a general Wiener process and copulas. The general Wiener process models the nonlinear ADT data, and the dependency among different degradation measures is analyzed using the copula method. An engineering case study on a tuner's ADT data is conducted to demonstrate the effectiveness of the proposed method. The results illustrate that the proposed method is quite effective in estimating the lifetime of a product with s-dependent performance parameters.
authors: Science and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China. sunfuqiang@buaa.edu.cn.|Department of Industrial Engineering, University of Arkansas, Fayetteville, AR 72701, USA. sunfuqiang@buaa.edu.cn.
authors: Fuqiang
authors: F
authors: Sun
authors: Science and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China. liule@buaa.edu.cn.
authors: Le
authors: L
authors: Liu
authors: Science and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China. leexy@buaa.edu.cn.
authors: Xiaoyang
authors: X
authors: Li
authors: Department of Industrial Engineering, University of Arkansas, Fayetteville, AR 72701, USA. liao@uark.edu.
authors: Haitao
authors: H
authors: Liao
keywords: accelerated degradation testing; copulas; general Wiener process; multiple performance parameters; nonlinearity; s-dependency