Main Article Content

Abstract

- However, the identification of the faulted location by the traditional method is not always an easy task due to the variability of gas data and operational natures. Incipient fault detection in transformers can provide early warning of electrical failure and could prevent catastrophic losses. To develop transformer incipient fault detection technique, a transformer model to simulate internal incipient faults is required. By Improving high Performance the proposed new Algorithm is Fuzzy C-Means Clustering for Identification of Inrush & Fault current  in the Power Transformer.

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How to Cite
P, S. (2019). A Fuzzy C- Means Clustering Algorithm for Discrimination of Fault & Inrush Current in Power Transformer. European Journal of Business and Social Sciences, 7(4), 1998-2004. Retrieved from https://journals.eduindex.org/index.php/ejbss/article/view/1618