Comprehensive aircraft system health-state awareness is critical for maintaining safe, efficient growth in global operations, enabling higher levels of autonomy, and facilitating new forms of aviation. Maintainers, vehicle operators, air traffic controllers, dispatchers, pilots, autonomous systems, and other decision-makers must have reliable real-time knowledge of the vehicle health, the health of its critical composite systems, predictions of how health changes with time, and forecasts of how its capabilities change with health degradation to preserve safety and efficiency. Providing this information in a reliable manner in computationally constrained environments and across a wide range of vehicles and systems continues to be a challenge. This challenge can be partially resolved through cloud computing, where the execution of prognostic and diagnostic algorithms is performed on a network of remote servers hosted on the internet. NASA is developing a cloud computing service, Prognostics As-A-Service (PaaS), that explores the feasibility and challenges of cloud-enhanced prognostics. Though such a system has broad applicability, this research effort is focused on aviation applications.


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    Title :

    Prognostics As-A-Service: A Scalable Cloud Architecture for Prognostics


    Contributors:

    Conference:

    Annual Conference Prognostics and Health Management Society (PHM 2019) ; 2019 ; Scottsdale, AZ, United States


    Publication date :

    2019-09-21


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




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    Teubert, Christopher A. | NTRS | 2018


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    Walsh, Kevin / Venti, Mike | NTRS | 2007


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    Line, J.K. / Clements, N.S. | IEEE | 2006