Model-based reasoning techniques hold much promise in providing comprehensive monitoring and diagnostics capabilities for complex systems. We are exploring the use of one of these techniques, which utilizes multi-signal modeling and the TEAMS-RT real-time diagnostic engine, on the UH-60 Rotorcraft Aircrew Systems Concepts Airborne Laboratory (RASCAL) flight research aircraft. We focus on the engine and transmission systems, and acquire sensor data across the 1553 bus as well as by direct analog-to-digital conversion from sensors to the QHuMS (Qualtech health and usage monitoring system) computer. The QHuMS computer uses commercially available components and is rack-mounted in the RASCAL facility. A multi-signal model of the transmission and engine subsystems enables studies of system testability and analysis of the degree of fault isolation available with various instrumentation suites. The model and examples of these analyses will be described and the data architectures enumerated. Flight tests of this system will validate the data architecture and provide real-time flight profiles to be further analyzed in the laboratory.


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    Titel :

    Model-based Health Monitoring and Diagnostic System for the UH-60 Helicopter


    Beteiligte:
    A. Patterson-Hine (Autor:in) / W. Hindson (Autor:in) / D. Sanderfer (Autor:in) / S. Deb (Autor:in) / C. Domagala (Autor:in)

    Erscheinungsdatum :

    2001


    Format / Umfang :

    19 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




    A Model-based Health Monitoring and Diagnostic System for the UH-60 Helicopter

    Patterson-Hine, Ann / Hindson, William / Sanderfer, Dwight et al. | NTRS | 2001



    Helicopter Health and Usage Monitoring

    Lumbard, R. J. / Commission of the European Communities | British Library Conference Proceedings | 1993


    Analog neural network-based helicopter gearbox health monitoring system

    Monsen, P.T. / Dzwonczyk, M. | Tema Archiv | 1995


    An ANS based helicopter transmission diagnostic system

    Xu, X. / Vanderveldt, H. / Allen, R. | Tema Archiv | 1997