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A survey of fault diagnosis technologyExisting techniques and methodologies for 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.
Document ID
19900051006
Document Type
Conference Paper
Authors
Riedesel, Joel (Martin Marietta Corp. Denver, CO, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1989
Subject Category
COMPUTER PROGRAMMING AND SOFTWARE
Meeting Information
IECEC-89(Washington, DC)
Funding Number(s)
CONTRACT_GRANT: NAS8-36433
Distribution Limits
Public
Copyright
Other