Application of artificial intelligence in Fault Detection and Isolation of uncertain parameter systems
by Salma Bouslama Bouabdallah, Moncef Tagina
International Journal of Automation and Control (IJAAC), Vol. 4, No. 1, 2010

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.

Online publication date: Wed, 02-Dec-2009

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