Statistical techniques in power systems fault diagnostic: Classifications, challenges, and strategic recommendations
AR Abbasi - Electric Power Systems Research, 2025 - Elsevier
Early fault diagnosis is crucial not only for ensuring the safety and efficiency of power
systems but also for averting catastrophic failures and substantial economic losses …
systems but also for averting catastrophic failures and substantial economic losses …
Sequential gated recurrent and self attention explainable deep learning model for predicting hydrogen production: Implications and applicability
CC Ukwuoma, D Cai, CD Ukwuoma… - Applied Energy, 2025 - Elsevier
To meet the difficulties of the current energy environment, hydrogen has enormous potential
as a clean and sustainable energy source. Utilizing hydrogen's potential requires accurate …
as a clean and sustainable energy source. Utilizing hydrogen's potential requires accurate …
[HTML][HTML] Fault classification and localization of multi-machine-based ieee benchmark test case power transmission lines using optimizable weighted extreme learning …
Accurate fault diagnosis in transmission lines is crucial to ensure the reliability and stability
of power grids. Conventional approaches often rely on expert knowledge or complex feature …
of power grids. Conventional approaches often rely on expert knowledge or complex feature …
Applications of artificial intelligence and PMU data: A robust framework for precision fault location in transmission lines
V Yuvaraju, S Thangavel, M Golla - IEEE Access, 2024 - ieeexplore.ieee.org
Providing continuous electric power supply to consumers is difficult for power system
engineers due to various faults in transmission and distribution systems. Precise fault …
engineers due to various faults in transmission and distribution systems. Precise fault …
Fault-MTL: A Multi-task Deep Learning Approach for Simultaneous Fault Classification and Localization in Power Systems
Power system interruptions, though brief, carry significant costs and adverse consequences.
Ensuring a reliable power supply necessitates accurate fault detection and swift resolution …
Ensuring a reliable power supply necessitates accurate fault detection and swift resolution …
[PDF][PDF] Non-contact power system fault diagnosis: a machine learning approach with electromagnetic current sensing
Modern power system protection schemes incorporate artificial intelligence (AI) techniques.
However, in a conventional way, most of these schemes rely on the data of current and …
However, in a conventional way, most of these schemes rely on the data of current and …
Hybrid Convolutional Neural Network with Bi-Long Short-Term Memory Method for Detection and Classification of Transmission Line Faults
T Devi, S Jagadish, E Suganya… - 2024 Second …, 2024 - ieeexplore.ieee.org
In recent years of technology, classification and detection of Transmission line fault plays an
important role because faults have various adverse effects on transmission lines, power …
important role because faults have various adverse effects on transmission lines, power …
Research on Power Load Data Acquisition and Integrated Transmission Systems in Electric Energy Calculation and Detection
S Dang, F Wei, M Wu, R Xie, J Wu - EAI Endorsed Transactions …, 2024 - publications.eai.eu
This paper presents the crucial area of power load data acquisition with an integrated
transmission system for precise calculation and detection of electric energy. With the …
transmission system for precise calculation and detection of electric energy. With the …