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