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4321. Data-Driven Condition-Based Maintenance Optimization
Invited abstract in session WB-39: Reliability Models, stream Stochastic Modelling.
Wednesday, 10:30-12:00Room: 35 (building: 306)
Authors (first author is the speaker)
| 1. | Bram de Jonge
|
| Operations, University of Groningen |
Abstract
Most studies on condition-based maintenance optimization consider the deterioration process of an industrial system to be known. In contrast, we make the more realistic assumption of an unknown deterioration process and develop approaches for determining when to carry out maintenance based on limited obtained condition data. We also assume that the parametric form of the deterioration process is unknown; our approaches are therefore fully data-driven. We analyze how the quality of the decisions depends on the amount of data that is available.
Keywords
- Stochastic Models
Status: accepted
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