SEEE DIGIBOOK ON ENGINEERING & TECHNOLOGY, VOL. 01, MAY 2018 pp. (73-77)
Abstract – Power transformers are used for step up or step down the voltage level in the transmission network. Determining the existing condition of the transformer is still a challenge and many researchers are involved in predicting it. In this paper, a novel system based on neural network is developed which predicts the health index of the transformer by considering thermal, electrical, physical and chemical properties prevailing in the transformer and gives the current status of the transformer. Health index of a transformer combines the results of various routine inspections, and laboratory testing to estimate the insulation. Among various analysis done on power transformer which includes Dissolved Gas Analysis, Furan Analysis, analysis of oil characteristics etc., conductivity factor and the polarization index strongly influence the health of power transformer. By calculating the health index, the characteristics of its insulation system is analyzed and hence the condition of a power transformer and remaining lifetime of the transformer can be assessed.
Index Terms -Dissolved Gas Analysis (DGA); Interfacial tension (IFT); neural network; conductivity factor; polarizing index;
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S.VEDHANAYAKI 1, Dr. SUJATHA BALARAMAN 1, R.MADAVAN 2
1 Government College of Technology, Coimbatore
2 P.S.R Engineering College, Sivakasi
vedhanayakiselvaraj@gmail.com
