Protection of HVDC Transmission Systems for Integrating Renewable Energy Resources

MS Zaky, HE Ahmed, M Elsadd… - Engineering, Technology & …, 2023 - etasr.com
This paper introduces a fault locator approach designed for non-homogeneous VSC-HVDC
(Voltage Source Converter-High Voltage Direct Current) transmission circuits. In various …

Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification

MUI Khan, MIH Pathan, MM Rahman, MM Islam… - IEEE …, 2024 - ieeexplore.ieee.org
Electric vehicles (EVs) are commonly recognized as environmentally friendly modes of
transportation. They function by converting electrical energy into mechanical energy using …

The Impact of Artificial Intelligence on Business Performance in Saudi Arabia: The Role of Technological Readiness and Data Quality

M Alarefi - Engineering, Technology & Applied Science Research, 2024 - etasr.com
This study aims to examine the impacts of Machine Learning (ML) and Artificial Intelligence
(AI) capabilities on Business Performance (BP) of technology enterprises in the Kingdom of …

Condenser Pressure Influence on Ideal Steam Rankine Power Vapor Cycle using the Python Extension Package Cantera for Thermodynamics

OA Marzouk - Engineering, Technology & Applied Science Research, 2024 - etasr.com
This study investigates the Rankine vapor power thermodynamic cycle using steam/water as
the working fluid, which is common in commercial power plants for power generation as the …

[PDF][PDF] Wavelet Analysis-Singular Value Decomposition Based Method for Precise Fault Localization in Power Distribution Networks Using k-NN Classifier

A Raj, CS Mishra, SRK Joga, IM Elzein… - … Journal of Robotics …, 2025 - researchgate.net
Fault detection (FD) in power distribution systems (PDSs), particularly in radial systems is
critical for maintaining system reliability and preventing extensive damage undetected or …

Unbalanced Distribution Network Cross-Country Fault Diagnosis Method with Emphasis on High-Impedance Fault Syndrome

BK Ponukumati, AK Behera, L Subhadarshini… - … , Technology & Applied …, 2024 - etasr.com
Unusual fault scenarios can occur on the utility grid in a power system network. Cross-
Country Faults (CCFs) connected to the High-Impedance Fault (HIF) syndrome are more …

Machine Learning-Driven Soft Sensor Implementation for Real-Time Fault Detection in CDU of Oil Refinery

MFS AlRijeb, ML Othman, A Ishak, MK Hassan… - … , Technology & Applied …, 2025 - etasr.com
Soft sensors in oil refineries provide operators with important insights into the behavior and
performance of processes using real-time and historical data to generate predictions. This …

Machine Learning-based Predictive Maintenance for Fault Detection in Rotating Machinery: A Case Study

AF Khalil, S Rostam - Engineering, Technology & Applied Science …, 2024 - etasr.com
In the realm of industrial production, condition monitoring plays a pivotal role in ensuring the
reliability and longevity of rotating machinery. Since most of the production facilities rely …

Machine Learning Enhancements for Electric Vehicles: Fault Detection through Deep Echo State Networks (ESN) Model

E Büyükbiçakci, C Atli, I Gedik… - 2024 8th …, 2024 - ieeexplore.ieee.org
Electric vehicles (EVs) are generally considered to be more eco-friendly than traditional
forms of mobility. Smart cities are environmentally conscious, and their operation is based …

ML-Based Fault Detection Strategies for Power Electronics

A Jain, R Lathwal - … 9th IEEE India International Conference on …, 2023 - ieeexplore.ieee.org
Power electronics plays a pivotal role in modern energy systems, contributing to improved
efficiency, reduced emissions, and enhanced control in various applications such as …