Popular GitHub Repositories for Electrical Motors

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

OpenModelica Microgrid Gym (OMG): An OpenAI Gym Environment for Microgrids

An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)

Autonomous navigation for blind people

Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework. My Master Thesis at Eindhoven University of Technology

? A model for early detection of multiple faults in induction motors based on the use of PCA and multilabel decision-trees

Predict performance issues with manufacturing equipment motors. Perform local or cloud analytics of the issues found, and then display the data on a user interface to determine when failures might arise.

Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors

DRL-Base-EMS for HEVs

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

Machine Learning based feature extraction of electrical substations from satellite data. Powered by IEEE-ICETCI, RRSC-Central, NRSC, and ISRO, this project incorporates instance segmentation of substations using UNet, Albumentations for image augmentation, and OpenCV for computer vision tasks.

This repository contains the code and dataset for the paper "Data-Driven Modeling of Three-Phase IGBT Two-Level Inverter for Electrical Drives using ANNs". The project employs MATLAB to develop and train Artificial Neural Networks (ANNs) to model a three-phase IGBT two-level inverter for electrical drives.

Predict performance issues with manufacturing equipment motors. Perform local or cloud analytics of the issues found, and then display the data on a user interface to determine when failures might arise.

This repository provides scripts and notebooks to create a Named Entity Recognition (NER) dataset tailored for the electrical engineering domain.

This repository contains the source code for my Thesis in the Department of Electrical and Computer Engineering at Aristotle University of Thessaloniki. The scope of this project is the employment of Computer Vision and Natural Language Processing techniques to deal with the complex problem of Food Categorization. Specifically, this project evaluates mainly two different classification techniques: the classification using the visual features of an image and the classification with the intermediate step of predicting a list of ingredients.

???? ProfGPT: AI-powered VR professor with electrical circuits lab table ?? Built with Unity ? GPT and Whisper APIs ? and AWS Polly ???

prediction electrical activity of the brain between the people drink alcohol and have a depression

? Learning word embedding models based on the electrical consumption of various home appliances.

Code for paper "Robustness of Neural Networks used in Electrical Motor Tasks"

Electrical Impedance Spectroscopy analysis using Machine Learning