A comprehensive review on the methods used for fault detection, classification and location
in transmission lines and distribution systems is presented in this study. Though the three …

Fault prognosis is mainly referred to the estimation of the operating time before a failure
occurs, which is vital for ensuring the stability, safety and long lifetime of degrading industrial …

This paper presents an intelligent protection scheme for microgrid using combined wavelet
transform and decision tree. The process starts at retrieving current signals at the relaying …

Detection and classification of transmission line (TL) faults are key factors for the fault root
cause analysis and rapid restoration of the power network. Deep learning can extract …

Fault classification is important for the fault cause analysis and faster power supply
restoration. A deep-learning-based fault classification method in small current grounding …

This paper introduces a novel self-attention convolutional neural network (SAT-CNN) model
for detection and classification (FDC) of transmission line faults. The transmission lines …

Accurate fault classification and detection for the microgrid (MG) becomes a concern among
the researchers from the state-of-art of fault diagnosis as it increases the chance to increase …

As rotating machines are more and more widely used in modern equipment, their fault
diagnosis is important to guarantee the instrument's reliability and safety. Although …

We present a novel transient fault detection and classification approach in power
transmission lines based on graph convolutional neural network. Compared with the …

This study focuses on the acoustic emission wave classification for the sake of more
accurate and comprehensive rail crack monitoring in the field typically with complex cracking …