Reliability analysis of two-stage nonlinear phase-dependent Wiener degradation process

Accurately assessing reliability and predicting the life of products is an important part of Prediction and Prognostics and Health Management. According to historical degradation data of products, the degradation model of two-stage nonlinear phase-dependent Wiener process is proposed to evaluate the dependability and forecast the lifetime of individual products. Firstly, a two-stage phase-dependent degradation model based on a nonlinear Wiener process was developed to characterize nonlinear nature of the degradation of product performance by simultaneously taking the correlation of degradation stages and the degradation heterogeneity of products into account; Secondly, the model parameters are estimated using EM algorithm based on historical degradation data of products; Finally, simulation studies are used to demonstrate the superiority of the approach for assessing offline reliability, and the validity of the method proposed in this paper is verified through an example of high-voltage pulse capacitors. The results show that compared with the degradation model based on phase-independent nonlinear Wiener processes, the two-stage nonlinear phase-dependent Wiener process degradation model can better capture actual degradation paths of products and provide a more reasonable assessment of lifetime reliability of products.

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Publication Details

Journal
Statistical Theory and Related Fields
Published
2026-03-04
DOI
https://doi.org/10.1080/24754269.2026.2633809
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
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Reliability analysis of two-stage nonlinear phase-dependent Wiener degradation process

Yongxian Wen, Binxian Zhuang, Qiang Guan, Wanping Lv et al.
Statistical Theory and Related Fields
Reliability and Maintenance Optimization
article

Reliability analysis of two-stage nonlinear phase-dependent Wiener degradation process

Yongxian Wen, Binxian Zhuang, Qiang Guan, Wanping Lv, Shuqi Fan, Jiaxing Huang, Cheng Li
article en

Abstract

Accurately assessing reliability and predicting the life of products is an important part of Prediction and Prognostics and Health Management. According to historical degradation data of products, the degradation model of two-stage nonlinear phase-dependent Wiener process is proposed to evaluate the dependability and forecast the lifetime of individual products. Firstly, a two-stage phase-dependent degradation model based on a nonlinear Wiener process was developed to characterize nonlinear nature of the degradation of product performance by simultaneously taking the correlation of degradation stages and the degradation heterogeneity of products into account; Secondly, the model parameters are estimated using EM algorithm based on historical degradation data of products; Finally, simulation studies are used to demonstrate the superiority of the approach for assessing offline reliability, and the validity of the method proposed in this paper is verified through an example of high-voltage pulse capacitors. The results show that compared with the degradation model based on phase-independent nonlinear Wiener processes, the two-stage nonlinear phase-dependent Wiener process degradation model can better capture actual degradation paths of products and provide a more reasonable assessment of lifetime reliability of products.

Statistical Theory and Related Fields
Sanming University (CN), Fujian Agriculture and Forestry University (CN)
Openalex Percentile: Top 48%
Reliability and Maintenance Optimization
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