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Home / Archives / Volume-4 / Issue-3 / Article-2

Volume - 4 | Issue - 3 | september 2022

Transformer Oil Diagnostic Tests Analysis using Statistical Correlation Technique
C. M. Maheshan  , H. Prasanna Kumar
Pages: 144-158
Cite this article
Maheshan, C. M., and H. Prasanna Kumar. "Transformer Oil Diagnostic Tests Analysis using Statistical Correlation Technique." Journal of Electrical Engineering and Automation 4, no. 3 (2022): 144-158
DOI
10.36548/jeea.2022.3.002
Published
23 August, 2022
Abstract

This research study presents a real time data analysis on the diagnostic tests of four different service transformers by using a statistical correlation technique. Transformers are essentially passive devices that supply desired voltage at a specified frequency. Transformer oil performs two different functions within all power transformers: insulation and cooling. The quality of the transformer oil depends on the performance of this continuously working equipment. Hence it is required to conduct a concurrent scheduled as well as unscheduled diagnostic tests. The proposed analysis has considered the dielectric strength or breakdown voltage, moisture or water content, acidity or neutralization number, interfacial tension along with dissolved gas analysis diagnostic tests. Here, the statistical analysis has been performed by using correlation tests and the final results predict the linear correlation among diagnostic tests.

Keywords

Transformer oil BDV WC NN DGA

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