An analysis of stochastic shortest path problems
Mathematics of Operations Research
ICC&IE-94 Selected papers from the 16th annual conference on Computers and industrial engineering
Detection of machine failure: Hidden Markov Model approach
Computers and Industrial Engineering
IEEE Transactions on Information Theory
Value of condition monitoring in infrastructure maintenance
Computers and Industrial Engineering
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This paper combines an optimization model and input parameters estimation from empirical data, in order to propose condition-based maintenance policies. The system deterioration is described by discrete states ordered from the state ''as good as new'' to the state ''completely failed''. At each periodic inspection, whose outcome might not be accurate, a decision has to be made between continuing to operate the system or stopping and performing its preventive maintenance. We explore the problem of how to estimate the model input parameters, i.e., how to adequate the model inputs to the empirical data available. For this purpose, we use the Hidden Markov Model theory. The literature has not explored the combination of optimization techniques and model input parameters, through historical data, for problems with imperfect information such as the one considered in this paper. We thoroughly discuss our approach, illustrate it with empirical data and also point out directions for future research.