Degradation model constructed with the aid of dynamic Bayesian networks
This paper develops a generic degradation model based on Dynamic Bayesian Networks (DBN) which predicts the condition of a technical system. Besides handling bi-directional reasoning, a major benefit of this degradation model using a DBN is its ability to adequately model stochastic processes as wel...
Main Authors: | Anselm Lorenzoni, Michael Kempf, Oliver Mannuß |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2017-01-01
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Series: | Cogent Engineering |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/23311916.2017.1395786 |
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