Parameter learning algorithms for continuous model improvement using operational data

In this paper, we consider the application of object-oriented Bayesian networks to failure diagnostics in manufacturing systems and continuous model improvement based on operational data. The analysis is based on an object-oriented Bayesian network developed for failure diagnostics of a one-dimensio...

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Bibliographic Details

Main Authors:	Anders L. Madsen, Nicolaj Sondberg-Jeppesen, Frank Jensen, Mohamed S. Sayed, Ulrich Moser, Luis Neto, Joao Reis, Niels Lohse
Format:	Default Conference proceeding
Published:	2017
Subjects:	Mechanical engineering not elsewhere classified Bayesian networks Parameter update Practical application Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/25243
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