In this paper, a model-based analytical redundancy method is used for sensor fault detection. The diagnosis system uses Kalman filters as state estimators, which can detect 6 kinds of typical sensor fault modes. Then Design a Multi-kernel SVM fault classification system, which makes use of PCA and WPEE method to extract fault characteristic. Compared to the traditional diagnostic and classification methods, Multi-kernel SVM is more effective.


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    Titel :

    Sensor Fault Diagnosis and Classification in Aero-engine


    Beteiligte:
    Zhu, Feixiang (Autor:in) / Li, Benwei (Autor:in) / Li, Zhao (Autor:in) / Zhang, Yun (Autor:in)


    Erscheinungsdatum :

    2014


    Format / Umfang :

    15 Seiten





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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