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An improved principal component analysis scheme for sensor fault detection and isolation : Application to a three tanks system

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4 Author(s)
Guerfel, M. ; LARA-Autom., Nat. Eng. Sch. of Tunis, Le Belvedere, Tunisia ; Ben Aicha, A. ; Ben Othman, K. ; Benrejeb, M.

In this paper a sensor fault detection and isolation procedure based on principal component analysis (PCA) is proposed to monitor a three interconnected tanks system. The PCA model is built to maximize fault detection sensitivity using a new index. The localization procedure is carried out using two methods. The first is based on the variables contribution to the fault index. The second is based on the reconstruction approach.

Published in:

Control and Automation, 2009. MED '09. 17th Mediterranean Conference on

Date of Conference:

24-26 June 2009

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