In this chapter, a methodology for plant fault detection and isolation using Bond Graph modeling tool is presented, the motivation using bond graph is that the dynamic model of the system and fault detection and isolation are performed using the same tool. Based on bond graph properties, the conditions of diagnosability are carried out structurally on the graph representing the system. The considered plant fault is a break of the transmission axle on an electromechanical system representing a quarter of an autonomous vehicle, named Robucar. Co-simulation using a vehicle simulator CALLAS/Simulink is given to show the efficiency of the proposed methodology.


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    Title :

    Bond Graph Model-Based Fault Detection and Isolation : Application to Intelligent Autonomous Vehicles


    Contributors:


    Publication date :

    2012



    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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