Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.

Multiclass bearing fault classification using features learned by a deep neural network.

ANN based electrical fault detection and classification using line and phase currents and voltages.

predictive-maintenance-fault-classification(CWRU data)-and-remaining-useful-life(NASA’s Turbofan Engine )

"The urban building rooftop photovoltaic dataset" is a deep learning dataset designed for studying photovoltaic systems installed on rooftops of urban buildings.

Contains code for Adaptive protection platform in Smart grids

An anomaly detection software that utilized the data collected from laser sensors to identify abnormal behavior in the kneading machine. The software utilizes a large dataset of kneading machine operation logs and dough thickness measurements to identify normal patterns of operation.

A comprehensive dataset containing simulation data from the Tennessee Eastman Challenge Process - a widely used benchmark for process control and fault detection research in chemical engineering. This repository provides ready-to-use simulation data for multiple operating modes and all 21 standard fault scenarios

An end-to-end machine learning pipeline for automated optical fibre fault detection, classification, and analysis using OTDR (Optical Time Domain Reflectometer) data.