• Amit M. Tayade
• Nitin J. Phadkule

Fault detection and classification in transmission line is of great importance in power system because 80-85% faults occur on transmission line. Detection gives answer to whether fault occurred or not whereas Classification gives answer to which type of fault is occurred. Classifying the faults gives an idea about appropriate protection scheme to be implemented. There are numerous techniques used for classifying the faults, but lack of accuracy and processing speed demands new techniques and methods to be invented. In case of new inventions Machine Learning is the latest technique which is taking attention of many researchers. Machine learning includes many algorithms for classification of faults like Naïve Bayes, Support vector machine (SVM), Bagging, Boosting, etc. This paper presents the fault detection and classification in transmission line with the help of Support Vector Machine (SVM) technique.

fault detection, fault classification, transmission line, distribution line, machine learning, Support Vector Machine (SVM)

"TRANSMISSION LINE FAULTS DETECTION AND CLASSIFICATION BY USING SUPPORT VECTOR MACHINE TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.450-458, May-2019, Available :http://www.jetir.org/papers/JETIR1905D66.pdf

"TRANSMISSION LINE FAULTS DETECTION AND CLASSIFICATION BY USING SUPPORT VECTOR MACHINE TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp450-458, May-2019, Available at : http://www.jetir.org/papers/JETIR1905D66.pdf