Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
806959 | Reliability Engineering & System Safety | 2011 | 7 Pages |
Abstract
Industrial systems subject to failures are usually inspected when there are evident signs of an imminent failure. Maintenance is therefore performed at a random time, somehow dependent on the failure mechanism. A competing risk model, namely a Random Sign model, is considered to relate failure and maintenance times. We propose a novel Bayesian analysis of the model and apply it to actual data from a water pump in an oil refinery. The design of an optimal maintenance policy is then discussed under a formal decision theoretic approach, analyzing the goodness of the current maintenance policy and making decisions about the optimal maintenance time.
Related Topics
Physical Sciences and Engineering
Engineering
Mechanical Engineering
Authors
J. Andrés Christen, Fabrizio Ruggeri, Enrique Villa,