A Simulation-based Approach for Exploring the Degradation and Maintenance of a Single-unit System
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A model for degradation and maintenance of a single-item system is extensively studied in this thesis, using a simulation based approach. Stochastic processes are used as degradation models and the item is maintained according to a condition-based maintenance program. Necessary background theory on stochastic process and the field of reliability is presented. This theory is linked directly to different properties of the model. Amongst other things, the concepts of regenerative and semi-regenerative processes will be important, both for computational and simulation related purposes. A Monte Carlo based algorithm is developed to simulate and explore the model. Within this algorithm, bridge sampling for simulation of stochastic processes play an important role. Numerical experiments with the model and possible extensions of it, is presented towards the end of the thesis.