Application of machine learning methods in fault detection and classification of power transmission lines: a survey

FM Shakiba, SM Azizi, M Zhou, A Abusorrah - Artificial Intelligence Review, 2023 - Springer
The rising development of power systems and smart grids calls for advanced fault diagnosis
techniques to prevent undesired interruptions and expenses. One of the most important part …

[HTML][HTML] Real-time sensing and fault diagnosis for transmission lines

FM Shakiba, M Shojaee, SM Azizi, M Zhou - International Journal of …, 2022 - sciltp.com
Protection of high voltage transmission lines is one of the crucial problems in the power
system engineering. Accurate and timely detection and identification of transmission line …

Simulating makeup through physics-based manipulation of intrinsic image layers

C Li, K Zhou, S Lin - Proceedings of the IEEE Conference on …, 2015 - cv-foundation.org
We present a method for simulating makeup in a face image. To generate realistic results
without detailed geometric and reflectance measurements of the user, we propose to …

Protection scheme for power transmission lines based on SVM and ANN considering the presence of non‐linear loads

E Koley, SK Shukla, S Ghosh… - IET Generation …, 2017 - Wiley Online Library
The proliferation of non‐linear loads in recent times has a strong bearing on power quality
due to the presence of harmonics in the power system. Harmonics lead to erroneous …

Fast current-only based fault detection method in transmission line

MA Jarrahi, H Samet, T Ghanbari - IEEE Systems Journal, 2018 - ieeexplore.ieee.org
When a fault occurs in transmission lines, first, it is detected, then classified, and finally,
located by a distance protection. Having a fast fault detection approach helps saving the …

[HTML][HTML] On the protection of power system: Transmission line fault analysis based on an optimal machine learning approach

MS Uddin, MZ Hossain, SR Fahim, SK Sarker… - Energy Reports, 2022 - Elsevier
Transmission lines (TLs) of power networks are often encountered with a number of faults.
To continue normal operation and reduce the damage due to the TL faults, it is a must to …

Generalized fault diagnosis method of transmission lines using transfer learning technique

FM Shakiba, M Shojaee, SM Azizi, MC Zhou - Neurocomputing, 2022 - Elsevier
Recent artificial intelligence-based methods have shown great promise in the use of neural
networks for real-time detection of transmission line faults and estimation of their locations …

Probabilistic transmission line fault diagnosis using autonomous neural models

VH Ferreira, R Zanghi, MZ Fortes, S Gomes Jr… - Electric Power Systems …, 2020 - Elsevier
Fault diagnosis is a critical task when a severe disturbance is caused by insulation failure on
a transmission line. Fault diagnosis should be concluded as soon as possible to avoid …

[HTML][HTML] Cloud based IoT solution for fault detection and localization in power distribution systems

M Ul Mehmood, A Ulasyar, A Khattak, K Imran… - Energies, 2020 - mdpi.com
Power restoring time in power distribution systems (PDS) can be minimized by using
efficient fault localization techniques. This paper proposes a novel, robust and scalable …

Advance monitoring of electrical and environmental parameters of PV system: a review

A Tyagi, M Dubey, S Gawre - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
The monitoring of the solar panels on periodic time is important to improve the durability
functioning of solar system. To obtain the best solar capacity of photovoltaic (PV) is feasible …