Title :
An improved principal component analysis scheme for sensor fault detection and isolation : Application to a three tanks system
Author :
Guerfel, Mohamed ; Ben Aicha, Anis ; Ben Othman, Kamel ; Benrejeb, Mohamed
Author_Institution :
LARA-Autom., Nat. Eng. Sch. of Tunis, Le Belvedere, Tunisia
Abstract :
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.
Keywords :
fault diagnosis; interconnected systems; principal component analysis; interconnected tanks system; principal component analysis; sensor fault detection; sensor fault isolation; Automatic control; Automation; Computerized monitoring; Control systems; Fault detection; Instruments; Principal component analysis; Sensor systems and applications; Statistical analysis; Zinc; PCA; fault detection; localization; statistical methods; system monitoring;
Conference_Titel :
Control and Automation, 2009. MED '09. 17th Mediterranean Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
978-1-4244-4684-1
Electronic_ISBN :
978-1-4244-4685-8
DOI :
10.1109/MED.2009.5164540
