Remaining useful life prediction for multivariable stochastic degradation systems with non‐Markovian diffusion processes-Reference-Cited by-同舟云学术

Remaining useful life prediction for multivariable stochastic degradation systems with non‐Markovian diffusion processes

Published:2020-06 Issue:4 Volume:36 Page:1402-1421
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual Reliab Engng Int

Author:

Xi Xiaopeng¹^ORCID,Zhou Donghua¹²^ORCID,Chen Maoyin¹,Balakrishnan Narayanaswamy³,Zhang Hanwen⁴

Affiliation:

1. Department of AutomationTsinghua University Beijing China

2. College of Electrical Engineering and AutomationShandong University of Science and Technology Qingdao China

3. Department of Mathematics and StatisticsMcMaster University Hamilton Ontario Canada

4. College of Control Science and EngineeringZhejiang University Hangzhou China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.2636

Reference46 articles.

1. Prognostics and Health Management of Electronics

2. SankararamanS GoebelK.Why is the remaining useful life prediction uncertain. In: Proceedings of Annual Conference of the Prognostics and Health Management Society.New Orleans America;2013:1–13.

3. Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

4. Remaining Useful Life Estimation for Systems with Time-varying Mean and Variance of Degradation Processes

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