IEEE

Robust Fault Classification of Three Phase Induction Motor Using GWO-SVM With Simulation and Hardware Validation

Abstract: This paper presents a comprehensive fault classification framework for three-phase Induction Motors (IMs) using a novel Grey Wolf Optimization-enhanced Support Vector Machine (GWO-SVM) ...
Futurism

OpenAI Says Boy’s Death Was His Own Fault for Using ChatGPT Wrong

Content warning: this story includes discussion of self-harm and suicide. If you are in crisis, please call, text or chat with the Suicide and Crisis Lifeline at 988, or contact the Crisis Text Line ...
pv magazine International

Machine learning-based fault detection technique for bifacial PV

A research team led by the University of Sharjah in the United Arab Emirates has developed a novel machine learning approach for fault detection in bifacial PV systems. The method combines a ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
Frontiers

Robust fault detection in electrochemical energy storage systems under label noise: applications to lithium-ion batteries and transformer windings

Reliable fault detection is essential for ensuring the safe and efficient operation of electrochemical energy storage systems, including lithium-ion batteries and transformer. However, the performance ...
IEEE

A Novel Long Short-Term Memory-Based Approach for Microgrid Fault Detection and Classification Using the Wavelet Scattering Transform

Abstract: Protecting microgrids poses significant challenges owing to their diverse operational modes, multiple power infeed sources, variable fault current levels, heterogeneous control strategies, ...
Scientific Research Publishing

Upadhyay, S., Kapoor, S.R. and Choudhary, R. (2018) Fault Classification and Detection in Transmission Lines Using Ann. 2018 International Conference on Inventive Research in ...

ABSTRACT: This paper presents a method for detecting, classifying, and locating short-circuit faults in meshed electrical networks using Artificial Neural Networks (ANNs). The proposed approach is ...
GitHub

MATLAB-based spectral analysis and classification app using Machine Learning

This project was developed as part of my Master's programm at Heilbronn University. The goal is to classify different oil samples (e.g. olive oil, sunflower oil) based on their fluorescence and ...