• DocumentCode
    1746982
  • Title

    BEAM: technology for autonomous self-analysis

  • Author

    Mackey, Ryan ; James, Mark ; Park, Han ; Zak, Michail

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    6
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2989
  • Abstract
    BEAM (Beacon-based Exception Analysis for Multimissions) is an end-to-end method of data analysis intended for real-time fault detection and characterization. It provides a generic system analysis capability for potential application to deep space probes and other highly automated systems. This paper describes in brief the architecture, application, and operating theory of BEAM. BEAM provides a generalized formalism for diagnostics and prognostics in virtually any instrumented system. Consideration is given to all standard forms of data, both time-varying (sensor or extracted feature) quantities and discrete measurements, embedded physical and symbolic models, and communication with other autonomy-enabling components such as planners and schedulers. This approach can be adapted to on-board or ground-based implementations with no change to the basic operating theory. The approach is illustrated with an overview of application types, past validations, and ongoing efforts
  • Keywords
    aerospace control; aerospace expert systems; computerised monitoring; data analysis; diagnostic expert systems; diagnostic reasoning; exception handling; fault diagnosis; knowledge representation; sensor fusion; space telemetry; space vehicle electronics; BEAM technology; autonomous self-analysis; autonomy-enabling components; beacon-based exception analysis for multimissions; data analysis; deep space probes; diagnostics; discrete measurements; embedded models; end-to-end method; generic system analysis capability; gray box; ground-based implementation; instrumented system; interpretation layer; knowledge representation; om-board implementation; prognostics; real-time fault detection; reliability centered control; symbolic data model; telemetry method; time-varying data; Condition monitoring; Data analysis; Fault detection; Laboratories; Postal services; Probes; Propulsion; Remote monitoring; Space technology; Space vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2001, IEEE Proceedings.
  • Conference_Location
    Big Sky, MT
  • Print_ISBN
    0-7803-6599-2
  • Type

    conf

  • DOI
    10.1109/AERO.2001.931319
  • Filename
    931319