IEEE

Robust Fault Detection in Industrial Machines Using Hybrid Transformer-DNN With Visualization via a Humanoid-Based Telepresence Robot

Abstract: Fault diagnosis in industrial systems remains a critical challenge due to complex operational conditions and the need for high accuracy in real-time applications. Traditional deep learning ...
IEEE

Multi-Class Fault Type Classification Using Sequence Components and Wavelet Features with Comparative Study of Machine Learning Models and Neural Networks

Abstract: The growing complexity of modern power networks requires intelligent fault classification techniques capable of handling multiple fault conditions with high accuracy. Classifying faults in ...
GitHub

ECG heartbeat classification using MATLAB, signal processing, feature engineering, and machine learning.

This project implements a machine learning pipeline for classifying ECG heartbeat signals into normal and abnormal classes using MATLAB. The system uses signal preprocessing, feature engineering, and ...