A condition-based maintenance policy for stochastically deteriorating systems
By Antoine Grall, Christophe Berenguer, Laurence Dieulle. Reliability Engineering & System Safety, 2002
479 citations recorded by the source corpus.
Subfields: Safety, Risk, Reliability and Quality, Software, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a5f1c29247d3dc80478d0a5e91f4a863c39ce823
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In Safety, Risk, Reliability and Quality
- Peter A. Beling
- Stephen C. Adams
- Benjamin Y. Choo
- Jooho Choi
- J. Zeng
- Dawn An
- Xiaohong Zhang
- Nam-Ho Kim
In Software
In Statistics and Probability
Citations in the corpus
- Deterioration state space partitioning method for opportunistic maintenance modelling of identical multi-unit systems (2015, background): “2.1.3 Control limit policy of condition-based maintenance (CBM) Castanier, Grall, and Bérenguer (2005) extended the multi-threshold condition-based maintenance (CBM) policy (Grall, Bérenguer, and Dieulle 2002) for two-unit deteriorating systems.”
- Practical options for selecting data-driven or physics-based prognostics algorithms with reviews (2015, background): “Introduction Condition-based maintenance (CBM), as illustrated in Fig.”
- Health-aware hierarchical control for smart manufacturing using reinforcement learning (2017, background): “One assumption often made in the PHM decision system literature is that a model (health state transitions, deterioration progression, failure rate, or RUL prediction) is either given [17], [45], [49] or can be estimated from readily available data [8], [37], [50].”