In the era of Industry 4.0, highly complex production equipment is becoming increasingly
integrated and intelligent, posing new challenges for data-driven process monitoring and …

This manuscript presents the issues allied with the detection of high impedance fault (HIF)
on the power distribution network. HIFs are those faults with current too small to be protected …

This paper proposes an ensemble Random Subspace (RS) classifier for discrimination of
High Impedance Fault (HIF) in photovoltaic connected power network. The design and …

High-impedance faults (HIF) are difficult to detect because of their low current amplitude and
highly diverse characteristics. In recent years, machine learning (ML) has been gaining …

Microgrids are essential for integrating renewable energy sources into the power grid.
However, fault detection is challenging due to bidirectional energy flow. Traditional relay …

The recent progress in the area of signal processing has led to the development of
intelligent schemes for fault classification and faulty phase selection in distribution system …

The high-impedance faults (HIF) occurring on distribution lines go undetected by the
conventional relays due to their low current magnitude. In addition to low current, HIFs also …

Earth faults occur frequently in power distribution systems and they are usually
accompanied by an arc. This is a big hazard to the power distribution systems. Effective …

This paper presents the high-impedance fault (HIF) detection and identification in medium-
voltage distribution network of 13.8 kV using discrete wavelet transform (DWT) and …

A high‐impedance fault (HIF) is mostly associated with the arcing phenomenon, and its main
features are low current, randomness, non‐linearity, and asymmetry. The low fault current of …