DocumentCode
2397585
Title
Fault diagnosis based on continuous simulation models
Author
Feyock, Stefan ; Meyers, Randall P.
Author_Institution
Dept. of Comput. Sci., College of William & Mary, Williamsburg, VA, USA
fYear
1991
fDate
1-2 Apr 1991
Firstpage
148
Lastpage
153
Abstract
Reasoning about physical systems from first principles, whether for purposes of explanation, prediction, or fault diagnosis, requires the reasoner to have available a model of the subject system. A novel approach, based on predicate transformers, to deep reasoning about actual systems on the basis of continuous simulation models of these systems is described. An application to the diagnosis of a malfunctioning Aerobee rocket attitude control system is presented
Keywords
aerospace control; fault location; inference mechanisms; rockets; simulation; Aerobee rocket; attitude control system; continuous simulation models; fault diagnosis; inference mechanisms; predicate transformers; reasoning; Biological system modeling; Computational modeling; Computer science; Computer simulation; Fault diagnosis; NASA; Predictive models; Rockets; Springs; Transformers;
fLanguage
English
Publisher
ieee
Conference_Titel
AI, Simulation and Planning in High Autonomy Systems, 1991. Integrating Qualitative and Quantitative System Knowledge, Proceedings of the Second Annual Conference on
Conference_Location
Cocoa Beach, FL
Print_ISBN
0-8186-2162-1
Type
conf
DOI
10.1109/AIHAS.1991.138462
Filename
138462
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