To monitor and handle big data obtained from electrical, electronic, electro-mechanical, and
other equipment linked to the power grid effectively and efficiently, it is important to monitor …

This paper provides a study of different methodologies for classifying faults in transmission
lines. Effective positioning of the relay medium in the network will detect any interruption in …

Fault diagnosis is vital for detecting the type of fault and rapid restoration of the electric
power supply. The existing machine learning‐based classification method for detecting fault …

Aiming at the shortcomings of traditional fault identification methods in fault information
acquisition, In the scenario of hybrid HVDC transmission system, a new fault identification …

This paper presents fault detection and classification using Wavelet and ANN based
methods in a DFIG-based series compensated system. The state-of-the art methods include …

This paper presents an open switch fault (OSF) detection and faulty switch identification
technique in a three-phase Electric Vehicle (EV) drive using Support Vector Machine (SVM) …

This paper presents a comparative evaluation of data mining techniques such as Random
Forest (RF), Support Vector Machine (SVM), and Naïve Bayes Tree (NBTree) classifiers for …

Transmission lines are connected to several electrical power system devices and must be
adequately protected to avoid damaging these elements. However, the protection task is …

Series compensators regulate and keep acceptable voltage levels in power transmission
lines that will reflect positive power quality indexes. However, depending on the kind of …

Transmission line is related to the security and stability of the power system, and it is the
basis of the ensuring power supply. It is very important to ensure the normal operation of the …