Control System Safety Evaluation and Reliability
Control System Safety Evaluation and Reliability
Expert Systems and Probabiistic Network Models
Expert Systems and Probabiistic Network Models
Dynamic bayesian networks: representation, inference and learning
Dynamic bayesian networks: representation, inference and learning
Tractable inference for complex stochastic processes
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Medical equipment maintenance support with service-oriented multi-agent services
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
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The paper discusses maintenance challenges of organisations with a huge number of devices and proposes the use of probabilistic models to assist monitoring and maintenance planning. The proposal assumes connectivity of instruments to report relevant features for monitoring. Also, the existence of enough historical registers with diagnosed breakdowns is required to make probabilistic models reliable and useful for predictive maintenance strategies based on them. Regular Markov models based on estimated failure and repair rates are proposed to calculate the availability of the instruments and Dynamic Bayesian Networks are proposed to model cause-effect relationships to trigger predictive maintenance services based on the influence between observed features and previously documented diagnostics.