Modeling left-truncated degradation data using random drift-diffusion Wiener processes-Reference-Cited by-同舟云学术

Modeling left-truncated degradation data using random drift-diffusion Wiener processes

Published:2023-03-15 Issue:2 Volume:21 Page:200-223
ISSN:1684-3703
Container-title:Quality Technology & Quantitative Management
language:en
Short-container-title:Quality Technology & Quantitative Management

Author:

Yan Bingxin¹,Wang Han²,Ma Xiaobing¹^ORCID

Affiliation:

1. School of Reliability and Systems Engineering, Beihang University, Beijing, China

2. School of Aeronautic Science and Engineering, Beihang University, Beijing, China

Funder

National Natural Science Foundation of China

Reliability and Environmental Engineering Science & Technology Laboratory

China Scholarship Council

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Information Systems and Management,Management Science and Operations Research,Industrial relations,Business and International Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/16843703.2023.2187011

Reference46 articles.

1. A Hybrid Prognostics Technique for Rolling Element Bearings Using Adaptive Predictive Models

2. Stochastic modeling and real-time prognostics for multi-component systems with degradation rate interactions

3. Degradation modeling for real-time estimation of residual lifetimes in dynamic environments

4. Condition-based maintenance in hydroelectric plants: A systematic literature review

5. Bayesian estimation and prediction for the transformed Wiener degradation process

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