This paper provides a systematic, comprehensive, up-to-date study of the various artificial
intelligence (AI) techniques on the detection and classification of faults on power …

The bird's nest on the transmission line tower has a bad impact on the transmission
equipment, and even threaten the safe and stable operation of the power grid. In recent …

This paper proposes a new deep learning network-RCNN4SPTL (RCNN-based Foreign
Object Detection for Securing Power Transmission lines), which is suitable for detecting …

Vegetation encroaching on overhead power lines can cause short circuit faults and pose a
major threat to the security and stability of power grids. Therefore, establishing an effective …

The inspection of power transmission lines is an important task that enhances the reliability
of Electricity Distribution Network Operators. This task can be performed in a low-cost way …

High-precision railway detection constitutes one of the primary challenges in railway
inspection systems using unmanned aerial vehicle (UAV) imagery. In this article, a …

The high-voltage power lines and transmission towers are large in volume, large in number,
and wide in coverage, so they are easily attached to foreign objects, which may cause …

In this article, we propose a bilevel segmentation framework with metacognitive learning (BS-
McL) to detect power lines with an RGB camera mounted on an unmanned aerial vehicle …

Overhead power line detection from aerial images using segmentation approaches Page 1
Automatika Journal for Control, Measurement, Electronics, Computing and Communications …

In this paper, we present a full design of a flying robot to investigate the state of power grid
components and to perform the appropriate maintenance procedures according to each fail …