Abstract
This paper introduces a stochastic filtering modeling approach for
predicting the remaining lifetime of a component based on information on
the stochastic degradation process and uncertain condition monitoring
measurements. The model is illustrated by a case study, where the
degradation is assumed to be a simplified fatigue crack growth process.
The model accounts for uncertainties in both degradation process and
condition measurements in a sound way. If completed with information on
costs of monitoring, failure and replacement, such model could be used
in optimizing both the condition monitoring intervals and, e.g. the
replacement time for the component.
Original language | English |
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Pages (from-to) | 200-208 |
Journal | Reliability Engineering and System Safety |
Volume | 91 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2005 |
MoE publication type | A1 Journal article-refereed |
Keywords
- stochastic filtering
- lifetime
- fatigue crack growth
- condition monitoring