Human space travel is inherently dangerous. Hazardous conditions will exist. Real time health monitoring of critical subsystems is essential for providing a safe abort timeline in the event of a catastrophic subsystem failure. In this paper, we discuss a practical and cost effective process for developing critical subsystem failure detection, diagnosis and response (FDDR). We also present the results of a real time health monitoring simulation of a propellant ullage pressurization subsystem failure. The health monitoring development process identifies hazards, isolates hazard causes, defines software partitioning requirements and quantifies software algorithm development. The process provides a means to establish the number and placement of sensors necessary to provide real time health monitoring. We discuss how health monitoring software tracks subsystem control commands, interprets off-nominal operational sensor data, predicts failure propagation timelines, corroborate failures predictions and formats failure protocol.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Sensors and systems for space applications: a methodology for developing fault detection, diagnosis, and recovery


    Contributors:
    Edwards, J.L. (author) / Beekman, R.M. (author) / Buchanan, D.B. (author) / Farner, S. (author) / Gershzohn, G.R. (author) / Khuzadi, M. (author) / Mikula, D.F. (author) / Nissen, G. (author) / Peck, J. (author) / Taylor, S. (author)


    Publication date :

    2007


    Size :

    10 Seiten, 6 Quellen





    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Sensors and systems for space applications: a methodology for developing fault detection, diagnosis, and recovery

    Edwards, John L. / Beekman, Randy M. / Buchanan, David B. et al. | SPIE | 2007


    Marshall Space Flight Center Fault Detection Diagnosis and Recovery Laboratory

    Burchett, Bradley / Gamble, Jonathan / Rabban, Michael | AIAA | 2008


    The Marshall Space Flight Center Fault Detection Diagnosis and Recovery Laboratory

    Burchett, Bradley T. / Gamble, Jonathan / Rabban, Michael | NTRS | 2008



    Model-Based Fault Detection and Diagnosis - Status and Applications

    Isermann, R. / International Federation of Automatic Control | British Library Conference Proceedings | 2004