Power systems frequently experience variations in their operation, which are mostly
manifested as transmission line faults. Over the past decade, various techniques of fault …

This paper proposes a new method of fault detection and classification in asymmetrical
distribution systems with dispersed generation to detect islanding and perform protective …

A novel technique for fault detection and classification in the extremely high-voltage
transmission line using the fault transients is proposed in this paper. The novel technique …

This paper presents a real-time wavelet-Fuzzy combined approach for digital relaying. The
algorithm for fault classification employs wavelet multi resolution analysis (MRA) to …

In the present milieu, changes in regulations and the opening of power markets have
manifested in the form of large amount of power transfer across transmission lines with …

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 employs a wavelet multiresolution analysis (MRA) along with the adaptive-
network-based fuzzy inference system to overcome the difficulties associated with …

With the advent of high speed communication technology, global positioning system (GPS)
and artificial intelligence (AI) techniques, there has been a paradigm shift in the parlance of …

This paper presents a novel approach based on the harmony search algorithm to optimally
determine suitable wavelet functions and wavelet decomposition levels for accurate fault …

In this paper, a transmission line fault location model which is based on an Elman recurrent
network (ERN) has been presented for balanced and unbalanced short circuit faults. All fault …