DGA technique for identifying the inner incipient faults inside the electric transformer

Abstract

Incipient fault prognosis of an energy transformer is significantly prompted by the circumstance assessment of its insulation machine oil and/or paper insulation. Dissolved gasin-oil evaluation (DGA) is one of the maximum powerful techniques for the detection of incipient fault condition within oil-immersed transformers. The transformer records have been analyzed using key gases, Doernenburg, Roger, IEC and Duval triangle strategies. This paper introduce a MATLAB application to assist in unification DGA interpretation techniques to analyze the accuracy of these techniques in decoding the transformer condition and to provide the excellent notion for the sort of the fault inside the transformer based totally on fault percentage. It proposes a right upkeep action based totally on DGA results that are beneficial for making plans the proper renovation approach to hold the electricity
transformer in suitable situation. The evaluation is done on DGA facts acquired from 352 oil samples has been summarized into forty six samples which have been amassed from a 38 one of a kind transformers of various score and distinct lifestyles span.