DocumentCode :
3454710
Title :
Research on Intelligent Diagnosis for Early Faults in Three-Phase Equipment
Author :
Mu-qin, Tian ; Yu-Fei, Lan ; Xiu-Fen, Lu
Author_Institution :
Taiyuan Univ. of Technol., Taiyuan, China
fYear :
2009
fDate :
June 30 2009-July 2 2009
Firstpage :
162
Lastpage :
165
Abstract :
The method of earlier stage fault intelligent prediction and diagnosis of three-phase equipments has been put forward based on expert system and neural network, by searching the parameters and signals that indicate the state of induce motor and analyzing their changing characters. Owing to the use the method, it is easy to detect early faults and separate a fault from others with the aid of powerful parallel processing and the non-linear reflective ability of intelligent measures of expert system and nerve network etc. So this realized earlier period faults intelligent diagnosis and prediction for induce motor.
Keywords :
AC motors; expert systems; neural nets; power engineering computing; early stage fault intelligent prediction; expert system; induce motor; intelligent diagnosis; neural network; parallel processing; three-phase equipment; Artificial intelligence; Databases; Diagnostic expert systems; Fault diagnosis; Intelligent networks; Intelligent systems; Neural networks; Pumps; Real time systems; Temperature sensors; Genetic Algorithm.; intelligent monitor; nerve network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Trends in Information and Service Science, 2009. NISS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3687-3
Type :
conf
DOI :
10.1109/NISS.2009.41
Filename :
5260422
Link To Document :
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