Paper Information

Title: 

DIAGNOSTIC OF TRANSFORMER INSULATION FAULTS BY USING OF DGA METHOD AND FUZZY-NEURAL NETWORKS

Type: PAPER
Author(s): MIRZAI MOHAMMAD,GHOLAMI AHMAD,FARROKHI MOHAMMAD
 
 
 
Name of Seminar: INTERNATIONAL POWER SYSTEM CONFRENCE
Type of Seminar:  CONFERENCE
Sponsor:  SHERKATE TAVANIR
Date:  2004Volume 19
 
 
Abstract: 

ONE OF THE IMPORTANT METHOD FOR DIAGNOSIS AND DETECT OF TRANSFORMER INTERNAL FAULTS IS DGA OR OIL CHROMATOGRAPHY TEST. ANALYSIS AND EXPLANATION OF PRODUCTED GAS CONDITIONS IS DESCRIBING FAULT TYPE AND ITS INTENSITY. IN THIS PAPER, TRANSFORMER INTERNAL FAULTS AND THEIR DIAGNOSIS METHODS IS EXAMINED BY CONSIDERING OF ASCENDANT GASES AMOUNTS AND RELATIONS OF PRODUCTED GASES AND OIL TEMPRATURE. ALSO THE DGA METHOD HAS BEEN USED AND DEFECT TRANSFORMER INTERNAL FAULTS ARE DISTINGUISHED AND COMPRISED BY USING OF FUZZY LOGIC AND NEURAL NETWORK METHODS.

 
Keyword(s): TRANSFORMER, GAS CHROMATOGRAPHY, NEURAL NETWORK, FUZZY LOGIC
 
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