DocumentCode :
2542538
Title :
A survey of fault diagnosis technology [for space power systems]
Author :
Riedesel, Joel
Author_Institution :
Martin Marietta, Denver, CO, USA
fYear :
1989
fDate :
6-11 Aug 1989
Firstpage :
183
Abstract :
Existing techniques and methodologies for space power system fault diagnosis are surveyed. The techniques run the gamut from theoretical artificial intelligence work to conventional software engineering applications. They are shown to define a spectrum of implementation alternatives where tradeoffs determine their position on the spectrum. Various tradeoffs include execution time limitations and memory requirements of the algorithms as well as their effectiveness in addressing the fault diagnosis problem
Keywords :
aerospace computing; artificial intelligence; fault location; power system computer control; space vehicle power plants; algorithms; artificial intelligence; execution time; fault diagnosis; fault location; memory; power system computer control; software engineering; space power systems; Artificial intelligence; Automation; Circuit faults; Fault diagnosis; NASA; Power system faults; Power system management; Space technology; Switches; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Conversion Engineering Conference, 1989. IECEC-89., Proceedings of the 24th Intersociety
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/IECEC.1989.74460
Filename :
74460
Link To Document :
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