DocumentCode
1107647
Title
On-Line Diagnosis of Turbine-Generators using Artificial Intelligence
Author
Gonzalez, Avelino J. ; Osborne, Robert L. ; Kemper, Chris T. ; Lowenfeld, Simon
Author_Institution
Westinghouse Electric Corporation, Steam Turbine Generator Division, Orlando, Florida 32817
Issue
2
fYear
1986
fDate
6/1/1986 12:00:00 AM
Firstpage
68
Lastpage
74
Abstract
An Artificial Intelligence (AI) based, on-line Turbine Generator diagnostic expert system which is is presently under development is described. Utilizing the inputs from a number of sensors, the diagnostic system evaluates the condition of the equipment and communicates appropriate action. This is an improvement over present monitoring systems which simply apply alarm limits to the value of each sensed variable. In comparison to a monitoring system, a diagnostic system identifies equipment and instrument problems earlier with a higher degree of accuracy.
Keywords
Artificial intelligence; Decision trees; Diagnostic expert systems; Humans; Instruments; Monitoring; Programming profession; Research and development; Sensor systems; Turbines;
fLanguage
English
Journal_Title
Energy Conversion, IEEE Transactions on
Publisher
ieee
ISSN
0885-8969
Type
jour
DOI
10.1109/TEC.1986.4765702
Filename
4765702
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