Michael Kempf

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In this paper a generic degradation model based on Dynamic Bayesian Networks (DBN) which predicts the condition of technical systems is presented. Besides handling bi-directional reasoning, a major benefit of using DBNs is its capability to adequately model stochastic processes. We assume that the behavior of the degradation can be represented as a(More)
Plant and system operators are looking for reliable products meeting high technical requirements while providing maximum economic benefit throughout the life cycle. Calculating life cycle costs different operating conditions have to be considered to provide reliable decision making assistance. If data for a direct probability measurement may not be(More)
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