Two-Stage Fault Classification Algorithm for Real Fault Data in Transmission Lines
SH Lim, T Kim, KY Lee, KM Song, SG Yoon - IEEE Access, 2024 - ieeexplore.ieee.org
Fault classification in power transmission lines is important in distance relaying for
identifying the accurate phases implicated in the fault occurrence. Generally, the accuracy of …
identifying the accurate phases implicated in the fault occurrence. Generally, the accuracy of …
Improved Fault Classification and Localization in Power Transmission Networks Using VAE-Generated Synthetic Data and Machine Learning Algorithms
The reliable operation of power transmission networks depends on the timely detection and
localization of faults. Fault classification and localization in electricity transmission networks …
localization of faults. Fault classification and localization in electricity transmission networks …
Prediction of solid soluble content of green plum based on improved CatBoost
X Zhang, C Zhou, Q Sun, Y Liu, Y Yang, Z Zhuang - Agriculture, 2023 - mdpi.com
Most green plums need to be processed before consumption, and due to personal
subjective factors, manual harvesting and sorting are difficult to achieve using standardized …
subjective factors, manual harvesting and sorting are difficult to achieve using standardized …
Enhancing Fraud Detection in Banking using Advanced Machine Learning Techniques
This study demonstrates the effectiveness of advanced machine learning techniques in
detecting fraudulent activities within the banking industry. We evaluated the performance of …
detecting fraudulent activities within the banking industry. We evaluated the performance of …
Impact of pulse parameters of a DC power generator on the microstructural and mechanical properties of sputtered AlN film with In-Situ OES data analysis
WY Zhou, HF Chen, XL Tseng, HH Lo, PJ Wang… - Materials, 2023 - mdpi.com
In the present study, the sputtered aluminum nitride (AlN) films were processed in a reactive
pulsed DC magnetron system. We applied a total of 15 different design of experiments …
pulsed DC magnetron system. We applied a total of 15 different design of experiments …
[HTML][HTML] Improving Electrical Fault Detection Using Multiple Classifier Systems
J Oliveira, D Passos, D Carvalho, JFV Melo, EG Silva… - Energies, 2024 - mdpi.com
Machine Learning-based fault detection approaches in energy systems have gained
prominence for their superior performance. These automated approaches can assist …
prominence for their superior performance. These automated approaches can assist …
BOHDL model: a robust framework for fault detection and classification in ring/radial distribution systems
G Tiwari, S Saini, Minaxi - Neural Computing and Applications, 2025 - Springer
Distribution systems are constantly at risk of failure due to various factors, including lightning
strikes, equipment aging, human mistakes, and breakdown of power system components …
strikes, equipment aging, human mistakes, and breakdown of power system components …
Timeseries Fault Classification in Power Transmission lines by Non-intrusive Feature Extraction and Selection using Supervisare Machine Learning
This paper presents a supervised machine learning approach using eight popular classifiers
for fault classification in power transmission lines. The classification of faults, indicated by …
for fault classification in power transmission lines. The classification of faults, indicated by …
Path Loss Model Estimation at Indoor Offices Environment by Using Deep Neural Network and CatBoost for Millimeter Wave 5G Wireless Application
This paper introduces a novel method for estimating the path loss value in indoor scenarios.
It uses a combination of electromagnetic calculation and machine learning. Using …
It uses a combination of electromagnetic calculation and machine learning. Using …
Hardware In the Loop Protection Scheme of Compensated Transmission Lines with a Unified Power Flow Controller
This paper presents a Hardware in the Loop simulation for the detection, classification, and
location of faults in transmission lines with Unified Power Flow Controller compensation …
location of faults in transmission lines with Unified Power Flow Controller compensation …