A Bayesian condition-based maintenance and monitoring policy with variable sampling intervals.
Dimitris KampitsisSofia PanagiotidouPublished in: Reliab. Eng. Syst. Saf. (2022)
Keyphrases
- monitoring system
- sufficient conditions
- real time
- markov chain monte carlo
- sequential monte carlo
- sample size
- optimal policy
- bayesian estimation
- data driven
- bayesian networks
- monte carlo
- policy making
- sampling strategy
- bayesian inference
- sampling algorithm
- software maintenance
- interval data
- posterior distribution
- gaussian processes
- posterior probability
- random sampling
- sampling methods
- early warning
- markov decision process
- parameter space
- replacement policy
- generative model
- dynamic programming
- preventive maintenance
- decision making