Electrical Faults-Detection and Classification using Machine Learning
K Janarthanam, P Kamalesh, T V Basil, Judeson Antony Kovilpillai J
Abstract
This paper focuses on the detection of faults occurring in electrical power transmission lines using machine learning techniques and algorithms. In the recent era, the demand for electricity is increasing rapidly but on the other hand the transmission capacity is not developing accordingly. This paper discusses the most common transmission line faults and classification by using machine learning. Using the proposed methods, the faults are analyzed with different combinations of inputs and by doing so an accurate result is obtained. The machine learning algorithms are implemented in Spyder IDE (Scientific Python Development Environment). The objective is aimed to be addressed using this method.