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Article
A review on condition-based maintenance optimization models for stochastically deteriorating system
Reliability Engineering and System Safety
  • Suzan Alaswad, Zayed University
  • Yisha Xiang, Lamar University
Document Type
Article
Publication Date
1-1-2017
Abstract

© 2016 Elsevier Ltd Condition-based maintenance (CBM) is a maintenance strategy that collects and assesses real-time information, and recommends maintenance decisions based on the current condition of the system. In recent decades, research on CBM has been rapidly growing due to the rapid development of computer-based monitoring technologies. Research studies have proven that CBM, if planned properly, can be effective in improving equipment reliability at reduced costs. This paper presents a review of CBM literature with emphasis on mathematical modeling and optimization approaches. We focus this review on important aspects of the CBM, such as optimization criteria, inspection frequency, maintenance degree, solution methodology, etc. Since the modeling choice for the stochastic deterioration process greatly influences CBM strategy decisions, this review classifies the literature on CBM models based on the underlying deterioration processes, namely discrete- and continuous-state deterioration, and proportional hazard model. CBM models for multi-unit systems are also reviewed in this paper. This paper provides useful references for CBM management professionals and researchers working on CBM modeling and optimization.

Publisher
Elsevier Ltd
Disciplines
Keywords
  • Condition-based maintenance,
  • Inspection,
  • Maintenance optimization,
  • Preventive maintenance,
  • Stochastic deterioration
Scopus ID
84984844822
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1016/j.ress.2016.08.009
Citation Information
Suzan Alaswad and Yisha Xiang. "A review on condition-based maintenance optimization models for stochastically deteriorating system" Reliability Engineering and System Safety Vol. 157 (2017) p. 54 - 63 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/0951-8320" target="_blank">0951-8320</a>
Available at: http://works.bepress.com/suzan-alaswad/1/