MULTIVARIATE CONTROL CHARTS WITH A BAYESIAN NETWORK

Sylvain Verron, Teodor Tiplica, Abdessamad Kobi

Abstract

The purpose of this article is to present an approach allowing the fault detection of a multivariate process with a bayesian network. As a discriminant analysis is easily modeled with a bayesian network, we will show that we we can consider the multivariate T 2 and MEWMA control charts as particular cases of the discriminant analysis. So, we give the structure of the bayesian network as well as the parameters of the network in order to detect faults in the multivariate space in the same manners as if we used multivariate control charts. The resulting bayesian network, with a computed threshold, is similar to the multivariate control charts.

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Paper Citation


in Harvard Style

Verron S., Tiplica T. and Kobi A. (2007). MULTIVARIATE CONTROL CHARTS WITH A BAYESIAN NETWORK . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-972-8865-82-5, pages 228-233. DOI: 10.5220/0001641702280233


in Bibtex Style

@conference{icinco07,
author={Sylvain Verron and Teodor Tiplica and Abdessamad Kobi},
title={MULTIVARIATE CONTROL CHARTS WITH A BAYESIAN NETWORK},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2007},
pages={228-233},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001641702280233},
isbn={978-972-8865-82-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - MULTIVARIATE CONTROL CHARTS WITH A BAYESIAN NETWORK
SN - 978-972-8865-82-5
AU - Verron S.
AU - Tiplica T.
AU - Kobi A.
PY - 2007
SP - 228
EP - 233
DO - 10.5220/0001641702280233