Application of artificial intelligence in Fault Detection and Isolation of uncertain parameter systems. (3rd December 2009)

• Record Type: Journal Article
• Authors: Bouabdallah, Salma Bouslama; Tagina, Moncef
• Is Part Of: International journal of automation and control. Volume 4:Number 1(2010)
• Page Start: 102
• Page End: 126
• Publication Date: 2009-12-03
• Subjects: bond graphs -- fault detection -- fault isolation -- FDI -- fuzzy logic -- multilayer perceptron -- parameter uncertainties -- artificial intelligence -- artificial neural networks; Automation -- Periodicals; Control theory -- Periodicals; Automatic control -- Periodicals; Robots -- Periodicals; Bionics -- Periodicals; Intelligent control systems -- Periodicals
• Languages: English
• ISSNs: 1740-7516

Abstract

In this article, two original intelligent methods for Fault Detection and Isolation (FDI) affecting sensors and actuators in case of bond graph modelled uncertain parameter systems are proposed. First, a fuzzy approach based on residual processing is proposed for FDI offline, binary approach and fuzzy approach are compared through an illustrative example. Secondly, a multilayer perceptron trained with resilient backpropagation algorithm is proposed for FDI online.