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Cited by 81Reliability and Maintenance OptimizationPower System Reliability and MaintenanceEngineering and Test Systems

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Maintenance Decision-Making for Systems Operating Under Indirect Condition Monitoring: Value of Online Information and Impact of Measurement Uncertainty

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Huynh, Khac Tuan, Barros, Anne, Berenguer, Christophe·2012·IEEE Transactions on Reliability
DOI 10.1109/tr.2012.2194174
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Abstract

This paper deals with maintenance decision-making for single-unit deteriorating systems operating under indirect condition monitoring. Based on a degradation and measurement model of crack growth propagation, two new maintenance policies using prognostic information are introduced. Their maintenance cost models are evaluated jointly by analytical and simulation approaches, and are compared with two more classical benchmark models. Such complete models integrating degradation phenomenon, monitoring characteristics, state estimation, prognostics, and maintenance assessment can give rise to fruitful numerical analyses and discussions. The main contributions of the paper are to i) analyze jointly the condition-based and dynamic structure of the considered maintenance policies; ii) propose some effective methods to reduce the effect of measurement uncertainty in condition-based maintenance decision-making; and iii) show the relevance of quantification methods when deciding to resort to prognostic approaches, and to invest in condition monitoring devices.

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Metadata

Authors
Huynh, K. T., Barros, A., & Berenguer, C.
Affiliations
Centre National de la Recherche Scientifique (FR)
ORCID
Venue
IEEE Transactions on Reliability
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2012-06
Volume
61
Issue
2
Pages
410-425
ISSN
  • 0018-9529 (ISSN-L)
  • 1558-1721
DOI
10.1109/tr.2012.2194174
OpenAlex
W2130499062
Cited by
81
References
0
Citations by year
2026: 5 · 2025: 2 · 2024: 4 · 2023: 4 · 2022: 4 · 2021: 1 · 2020: 6 · 2019: 5 · 2018: 6 · 2017: 10 · 2016: 7 · 2015: 10 · 2014: 9 · 2013: 6 · 2012: 2
FWCI
24.93
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • IEEE Transactions on Reliability (publishedVersion)
  • HAL (submittedVersion, other-oa)
Topics
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Reliability and Maintenance Optimization
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Power System Reliability and Maintenance
  • Physical Sciences › Engineering › Control and Systems Engineering › Engineering and Test Systems
Keywords
maintenance decision-making, condition-based maintenance, prognostics, measurement uncertainty, degradation modeling, maintenance cost model, state estimation

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