A problem of current interest to the Navy is the automatic detection and classification of faults in mechanical systems such as the transmissions, gearboxes, and bearings of helicopters. The problem is important for both economic and safety reasons. Using automated fault detection and classification, machinery repair can be undertaken as needed and can prevent catastrophic failure. This condition-based maintenance approach is more efficient and cost-effective than the use of predetermined maintenance schedules. Additionally, automated fault detection and classification systems can alert machinery operators, such as helicopter pilots, of the onset of a mechanical problem, thus allowing the pilot to take precautions, such as landing the aircraft, before a potentially catastrophic failure occurs.


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    Titel :

    Condition Based Machinery Maintenance (Helicopter Fault Detection). Phase I


    Beteiligte:
    T. W. Brotherton (Autor:in) / T. G. Pollard (Autor:in)

    Erscheinungsdatum :

    1993


    Format / Umfang :

    42 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch





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