Hidden semi-Markov Models for Predictive Maintenance of Rotating Elements
The dissertation at hand introduces a novel algorithm to predict the remaining useful life (RUL) of rotating components such as grooved ball bearings or gear boxes. The focus of the implemented method is on so-called Hidden semi-Markov Models (HsMM), which are suitable for the modeling of sequential...
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Format: | Others |
Language: | en |
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2018
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Online Access: | https://tuprints.ulb.tu-darmstadt.de/7646/2/20180730_Anger_Dissertation.pdf Anger, Christoph <http://tuprints.ulb.tu-darmstadt.de/view/person/Anger=3AChristoph=3A=3A.html> (2018): Hidden semi-Markov Models for Predictive Maintenance of Rotating Elements.Darmstadt, Technische Universität, [Ph.D. Thesis] |
Internet
https://tuprints.ulb.tu-darmstadt.de/7646/2/20180730_Anger_Dissertation.pdfAnger, Christoph <http://tuprints.ulb.tu-darmstadt.de/view/person/Anger=3AChristoph=3A=3A.html> (2018): Hidden semi-Markov Models for Predictive Maintenance of Rotating Elements.Darmstadt, Technische Universität, [Ph.D. Thesis]