Mehennaoui, L.  , N. Debbache  , M.L. Benlouci  , 
    Neuro Fuzzy Methods for Fault Diagnosis of Nonlinear Systems,
    Asian Journal of Information Technology,
    Volume 5,Issue 7,
    2006,
    Pages 750-760,
    ISSN 1682-3915,
    ajit.2006.750.760,
    (https://makhillpublications.co/view-article.php?doi=ajit.2006.750.760)
    Abstract: The study presents a Fault Detection and Isolation (FDI) scheme with a particular emphasis placed on sensor fault diagnosis in nonlinear dynamic systems. The non-analytical FDI scheme is based on a two-step procedure. Two methods are proposed for the first step, called residual generation, one use fuzzy sets and the second neuronal network. A fuzzy neural network performs the second step, called residual evaluation. Some simulation results are given for efficiency assessment of this fault diagnosis approach.
    Keywords: Fuzzy identification;neural identification;fault diagnosis;neuro-fuzzy scheme