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Diagnosis of hybrid systems through Neural Networks and Timed Automata

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    Title: Diagnosis of hybrid systems through Neural Networks and Timed Automata
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    Date: 2018
    Publication type: Seminar work
    Authors:
    No. First name Last name Show
    1. IPCO CONF
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    Venue
    LARATSI, Engineering School of Monastir, Tunisia

    Abstract

    Despite technological advances and progress in industrial systems, the fault diagnosis of a system remains a very important task. In fact, an effective diagnosis contributes not only to improve reliability but also to decrease in maintenance costs. This paper, presents a diagnosis approach of hybrid systems thanks to the use of Timed Automata and Neural Networks. Dynamic models (in normal and failing mode) are generated by a Timed automata based methods as well as through state equations generated by Neural Networks (NN) model.