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
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