DocumentCode
2539718
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
fYear
2009
fDate
24-26 June 2009
Firstpage
205
Lastpage
210
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/MED.2009.5164540
Filename
5164540
Link To Document