In this paper, we present some results obtained from the application of a class of sliding mode observers to the model-based fault diagnosis problem in non-linear dynamic systems. A Takagi-Sugeno fuzzy model is used to describe the system and then sliding mode observers are designed to estimate the system state vector, from this the diagnostic signal-residual, is generated by the comparison of measured and estimated output. The linear integer programming technique is proposed to solve the fault isolation problem based in signal-residual. The proposed technique allows determinating the faulted component corresponding to the active signal-residual. This paper shows an application of the fault diagnosis technique which was tested satisfactorily in a two-tank hydraulic system.


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    Title :

    Fault Detection and Isolation Problem: Sliding Mode Fuzzy Observers and Linear Integer Programming




    Publication date :

    2008-09-01


    Size :

    198130 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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