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Selective maintenance optimization for fuzzy multi-state systems

Published:2018-01-12 Issue:1 Volume:34 Page:105-121
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Cao Wenbin¹,Jia Xisheng¹,Liu Yu²,Hu Qiwei¹

Affiliation:

1. Department of Management Engineering, Mechanical Engineering College, Shijiazhuang, Heibei, P.R. China

2. School of Mechatronics Engineering, University of Electronic Science and Technology of China, West Hi-Tech Zone, Chengdu, Sichuan, P.R. China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference38 articles.

1. Selective maintenance for binary systems under imperfect repair;Pandey;Reliability Engineering and System Safety,2013

2. A multiple-valued decision diagram based method for efficient reliability analysis of non-repairable phased-mission systems;Mo;IEEE Transactions on Reliability,2014

3. New insights into the BDD-based reliability analysis of phased mission systems;Mo;IEEE Transactions on Reliability,2009

4. The integrated importance measure of multi-state coherent systems for maintenance processes;Si;IEEE Transactions on Reliability,2012

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1. Distributionally-robust chance-constrained optimization of selective maintenance under uncertain repair duration;Expert Systems with Applications;2024-04

2. A critical review of selective maintenance for mission-oriented systems: challenges and a roadmap for novel contributions;International Journal of Production Research;2023-10-24

3. Deep learning-based intelligent multilevel predictive maintenance framework considering comprehensive cost;Reliability Engineering & System Safety;2023-09

4. Robust selective maintenance optimization of series–parallel mission-critical systems subject to maintenance quality uncertainty;Computational Management Science;2023-06-15

5. Optimizing system reliability through selective maintenance allocation: A novel multi‐objective programming approach using neutrosophic fuzzy concept;Quality and Reliability Engineering International;2023-05-23

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