A dynamic auto-adaptive predictive maintenance policy for degradation with unknown parameters

DOI10.1016/j.ejor.2019.08.050zbMath1430.90216OpenAlexW2970993203MaRDI QIDQ2282494

Yanyan Li

Publication date: 8 January 2020

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://hal-utt.archives-ouvertes.fr/hal-02285162/file/EJOR_MGS_R3.pdf

zbMATH Keywords

maintenanceBayesian updateremaining useful lifecondition-basedincreasing stochastic process

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10) Reliability, availability, maintenance, inspection in operations research (90B25) Applications of renewal theory (reliability, demand theory, etc.) (60K10)

Related Items (5)

Partially observable Markov decision process-based optimal maintenance planning with time-dependent observations ⋮ A data-driven approach for condition-based maintenance optimization ⋮ Data-driven remanufacturing planning with parameter uncertainty ⋮ Imperfect maintenance policies for warranted products under stochastic performance degradation ⋮ A finite-horizon condition-based maintenance policy for a two-unit system with dependent degradation processes

Cites Work

• Condition-based maintenance using the inverse Gaussian degradation model
• Degradation-based maintenance decision using stochastic filtering for systems under imperfect maintenance
• Sequential condition-based maintenance scheduling for a deteriorating system.
• A Bayesian method on adaptive preventive maintenance problem.
• A survey of maintenance policies of deteriorating systems
• Structured Replacement Policies for Components with Complex Degradation Processes and Dedicated Sensors
• Using Degradation Measures to Estimate a Time-to-Failure Distribution
• On the Modelling of Imperfect Repairs for a Continuously Monitored Gamma Wear Process Through Age Reduction
• On-line change detection and condition-based maintenance for systems with unknown deterioration parameters

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