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An Intelligent Fault Detection and Classification Scheme for Distribution Lines Using Machine Learning
2022
Engineering, Technology & Applied Science Research
The current paper focuses on the development and deployment of Machine Learning (ML) based algorithms for the classification and detection of different faults in the electrical distribution system. The methodology adapted using ML has higher computational accuracy than traditional computational algorithms. The parameters involved in developing ML for fault detection/classification are fundamental frequency, fault voltage, and current components at fault situations. During faults, the current
doi:10.48084/etasr.5107
fatcat:ip6skkyjcvhvzfxo23ly576o54