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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Bibliographic Details
Main Author: Anger, Christoph
Format: Others
Language:en
Published: 2018
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]