Fault analysis and diagnosis constitute a relevant problem in power systems, with important
economic impacts for operators, maintenance agents and the power industry in general …

Contemporary power systems are associated with serious issues of faults on high voltage
transmission lines. Instant isolation of fault is necessary to maintain the system stability …

This paper focuses on the detection and classification of the faults on electrical power
transmission line using artificial neural networks. The three phase currents and voltages of …

This paper proposes a comprehensive novel multi-terminal HVDC protection scheme based
on artificial neural network (ANN) and high frequency components detected from fault …

In this paper, a fuzzy-logic-based algorithm to identify the type of faults for digital distance
protection system has been developed. The proposed technique is able to accurately …

This paper presents a novel approach for detecting, classifying and locating short-circuit
faults in power transmission lines. Based on the proposed approach, a hybrid framework …

This paper introduces advanced pattern recognition algorithm for classifying the
transmission line faults, based on combined use of neural network and fuzzy logic. The …

Objective: This paper presents a new approach for fault classification in extra high voltage
(EHV) transmission line using a rough membership neural network (RMNN) classifier …

This paper proposes fault detection and classification scheme for transmission line
protection using WT and linear discriminant analysis (LDA). Current signals of each phase …

An approach for classification of transmission line faults is presented. The approach is
based on fuzzy logic and requires the consideration of the samples of three phase currents …