Optimal inspection and replacement policy based on experimental degradation data with covariates-Reference-Cited by-同舟云学术

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Optimal inspection and replacement policy based on experimental degradation data with covariates

Published:2018-11-13 Issue:3 Volume:51 Page:322-336
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Zhao Xiujie¹^ORCID,Gaudoin Olivier²,Doyen Laurent²,Xie Min¹³

Affiliation:

1. Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong;

2. Laboratoire Jean Kuntzmann, Université Grenoble Alpes, Grenoble, France;

3. City University of Hong Kong Shenzhen Research Institute, Shenzhen, China

Funder

Research Grants Council of Hong Kong

General Research Fund

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2018.1488308

Reference42 articles.

1. A review on condition-based maintenance optimization models for stochastically deteriorating system

2. Reliability modeling for systems subject to multiple dependent competing failure processes with shock loads above a certain level

3. Optimal non-periodic inspection for a multivariate degradation model

4. Bayesian gamma processes for optimizing condition-based maintenance under uncertainty

5. A condition-based maintenance for a system subject to multiple degradation processes and external shocks

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1. An optimal condition-based maintenance policy for nonlinear stochastic degrading systems;Reliability Engineering & System Safety;2024-11

2. Optimal maintenance policies for three-unit parallel production systems considering yields;Reliability Engineering & System Safety;2024-08

3. Inspection policy optimization for hierarchical multistate systems under uncertain mission scenarios: A risk-averse perspective;IISE Transactions;2024-03-28

4. Condition-based maintenance considering imperfect inspection for a multi-state system subject to competing and hidden failures;Computers & Industrial Engineering;2024-02

5. On the quality of maintenance: The forgotten issue;Developments in Reliability Engineering;2024

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