kidozh / digital_twin_by_GANLinks
Digital twins in machining process by Generative Adversarial Nets
☆48Updated 6 years ago
Alternatives and similar repositories for digital_twin_by_GAN
Users that are interested in digital_twin_by_GAN are comparing it to the libraries listed below
Sorting:
- ☆42Updated 4 years ago
- In this repo we will show how to build a simple but useful Digital Twin using python. Our asset will be a Li-ion battery. This Digital Tw…☆96Updated 2 months ago
- Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To pr…☆52Updated 3 years ago
- Deep Learning applied to predictive maintenance use cases☆37Updated 5 years ago
- Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as …☆73Updated 4 years ago
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆138Updated 4 years ago
- Predictive maintenance algorithm developed using digital twin of hydraulic pump modeled in Simscape☆37Updated 9 months ago
- This repository contains the scripts and preprocessed data to recreate the figures and results presented in the paper: A Comprehensive Re…☆36Updated 3 years ago
- A digital twin (python) for water quality monitoring (wqm)☆15Updated 2 years ago
- ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python☆21Updated 2 years ago
- Predictive Maintenance System for Digital Factory Automation☆45Updated 6 years ago
- False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics☆47Updated 5 years ago
- Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems☆44Updated 2 years ago
- We will do a condition monitoring of a test hydraulic rig, using various sensor values and using xgboost for classification☆12Updated 7 years ago
- A framework to implement Machine Learning methods for time series data.☆18Updated 2 years ago
- ROS 2 packages that implement dynamic structural health monitoring for a UAV via structural digital twin, formulated using a probabilisti…☆61Updated 4 years ago
- Predicting the Remaining Useful Life (RUL) of simulated Turbofan Engines using Spark ML, Spark Structured Streaming, and Kafka.☆23Updated 11 months ago
- Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibrati…☆19Updated 4 years ago
- Aircraft engine failure prediction model☆28Updated 2 years ago
- A Python class for Reliability analysis including Monte Carlo and FORM methods☆14Updated 5 months ago
- Demonstration of MapR for Industrial IoT☆114Updated 2 years ago
- Predict remaining useful lifetime of an electric car accurately to help drive owner satisfaction and future purchases. This solution comp…☆14Updated 4 years ago
- The following is a machine learning project to classify induction motor fault modes.☆33Updated 3 years ago
- A notebook tutorial series for performing predictive maintenance using machine learning☆151Updated 5 years ago
- The objective of the project is to classify steel plates fault into 7 different types. The end goal is to train several machine Learning …☆16Updated 6 years ago
- Finding lifetime a bearing using IOT data and Remaining Utility Life (RUL)☆17Updated 7 years ago
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆137Updated 4 years ago
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆69Updated 3 years ago
- ☆36Updated 2 years ago
- Leveraging Deep Learning Solutions for Predictive Maintenance of Batteries in Industrial Datasets☆29Updated 7 years ago