Electronic Specifier

Precision fault localisation in electronic devices via E-LIT technology

InfraTec’s E-LIT automated test solution provides high-fidelity inspection for advanced electronic and semiconductor modules ...
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 = ...
Scientific Research Publishing

Design and Development of Wi-Fi and GPS-Based Smart Monitoring and Fault Detection System for Three-Phase Power Transmission Line Using Arduino ()

1 Faculty of Electrical Technology and Engineering (FTKE), Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia. 2 Faculty of Electrical and Electronic Engineering (FKEE), Universiti Tun ...
IEEE

Current Signature-Based Bearing Fault Severity Classification Using a Robust Multilevel Cascaded Framework

Abstract: Bearing faults are a critical concern in electrical machines, particularly permanent magnet synchronous motors (PMSMs), commonly used in electric vehicles. Early and accurate classification ...
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, ...
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 ...
scoop

Fault Detection and Classification Market to hit USD 12.7 Bn By 2033

Market.us Scoop, we strive to bring you the most accurate and up-to-date information by utilizing a variety of resources, including paid and free sources, primary research, and phone interviews. Learn ...