Title :
Neuro-expert hybrid system for electric generator failure diagnosis
Author :
Mejia-Lavalle, Manuel ; Rodriguez, German ; Arroyo, G. ; Robles, Eider
Author_Institution :
Sistemas Informaticos / Division Sistemas de Control, Instituto de Investigaciones Electricas, Reforma 113, Pahim, 62490 Cuernavaca, Mor, Mexico
Abstract :
An Electric Generator Failure Diagnosis (EGFD) system is discussed in the paper. The EGFD system combines two artificial intelligence approaches: expert systems and artificial neural networks. An analysis of the advantages and disadvantages of the two technologies, as applied to this power generation application, is included. Use of machine learning technology is discussed.
Keywords :
Artificial intelligence; Artificial neural networks; Diagnostic expert systems; Expert systems; Generators; Memory management; Neural networks; Partial discharges; Power generation; Stator windings;
Conference_Titel :
Electrical and Electronics Engineering, 2004. (ICEEE). 1st International Conference on
Conference_Location :
Acapulco, Mexico
Print_ISBN :
0-7803-8531-4
DOI :
10.1109/ICEEE.2004.1433872
