This paper presents a hybrid model-based fault diagnosis system to distinguish different types of faults and provide accurate fault information under complex fault situations. In the proposed system, a bank of hybrid fault observers (HFOs) is designed for the actuator fault detection and sensor fault location, and a nonlinear fault-tolerance estimator (NFTE) is built for the actuator fault estimation. In addition, a switching structure is designed to vary the working process between banks of HFOs and the NFTE. To prove the effectiveness of the proposed approach, a series of simulations was conducted based on a nonlinear aeroengine model. The results verified that the proposed hybrid diagnosis system is capable of locating the sensor fault, detecting the actuator faults, and estimating the actuator faults effectively.


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    Titel :

    Hybrid Diagnosis System for Aeroengine Sensor and Actuator Faults


    Beteiligte:
    Yuan, Ye (Autor:in) / Ding, Shuiting (Autor:in) / Liu, Xiaofeng (Autor:in) / Pan, Qiang (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2019-11-12




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt



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