ON-LINE DIAGNOSIS OF TURBINE-GENERATORS USING ARTIFICIAL INTELLIGENCE.

被引：0
|
作者：
Gonzalez, Avelino J. [1 ]
Osborne, Robert L. [1 ]
Kemper, Chris T. [1 ]
Lowenfeld, Simon [1 ]
机构：
[1] Westinghouse Electric Corp, Orlando,, FL, USA, Westinghouse Electric Corp, Orlando, FL, USA
来源：
IEEE Transactions on Energy Conversion | 1986年 / EC-1卷 / 02期
关键词：
ARTIFICIAL INTELLIGENCE - Expert Systems - ELECTRIC MACHINERY - Monitoring - SENSORS;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
An artificial-intelligence-based, online turbine generator diagnostic expert system which 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 different from present monitoring systems which simply apply alarm limits to the value of each sensed variable. The focus is on the design of the diagnostic system and its outstanding features, and the artificial intelligence rule base used to arrive at a diagnosis. Preliminary results of a rule-based online verification project are also described.
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页码：68 / 74
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