Automated fault detection is an increasingly important problem in aircraft maintenance and operation. Standard methods of fault detection assume the availability of either data produced during all possible faulty operation modes or a clearly-defined means to determine whether the data is a reasonable match to known examples of proper operation. In our domain of fault detection in aircraft, the first assumption is unreasonable and the second is difficult to determine. We envision a system for online fault detection in aircraft, one part of which is a classifier that predicts the maneuver being performed by the aircraft as a function of vibration data and other available data. We explain where this subsystem fits into our envisioned fault detection system as well its experiments showing the promise of this classification subsystem.


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    Title :

    Classification of Aircraft Maneuvers for Fault Detection


    Contributors:

    Conference:

    NIPS 2002 ; 2002 ; Vancouver, Canada


    Publication date :

    2002-01-01


    Type of media :

    Preprint


    Type of material :

    No indication


    Language :

    English




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