mongodb-industry-solutions / vehicle-digital-twin-feedback-loop
In this repository you'll find everything you need to get started in creating a Digital Twin with MongoDB and AWS. More specifically, you'll find code samples and demos using MongoDB Atlas, Ditto and Amazon SageMaker.
☆23Updated 3 months ago
Alternatives and similar repositories for vehicle-digital-twin-feedback-loop:
Users that are interested in vehicle-digital-twin-feedback-loop are comparing it to the libraries listed below
- This Guidance demonstrates how to use historical battery health data with artificial intelligence and machine learning (AI/ML) algorithms…☆20Updated 4 months ago
- This repository contains the scripts and preprocessed data to recreate the figures and results presented in the paper: A Comprehensive Re…☆33Updated 2 years ago
- Learn how data trapped in an RDBMS can be liberated using MongoDB's Developer Data Platform (DDP) by migrating to Atlas, powering with se…☆12Updated 3 months ago
- ☆12Updated 3 years ago
- A framework for building predictive modeling applications☆37Updated 2 years ago
- ☆6Updated 5 months 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…☆79Updated last month
- A digital twin for transport systems in Sweden☆31Updated 2 months ago
- The following is a machine learning project to classify induction motor fault modes.☆34Updated 3 years ago
- ☆34Updated last year
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆57Updated 2 years ago
- Supplementary data for utilising knowledge graph databases towards explainable decision support in wind turbines.☆14Updated 2 years ago
- A Python class for Reliability analysis including Monte Carlo and FORM methods☆14Updated 2 months ago
- Code repository for the book 'Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance'☆12Updated 9 months ago
- Ops Manager Demo in Docker☆13Updated 10 months ago
- ☆8Updated last year
- Uses the ECM to simulate a li-ion cell and validate a PyTorch LSTM☆13Updated 2 years ago
- Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To pr…☆44Updated 2 years ago
- This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and…☆24Updated last year
- Digital Twin of an Induction Motor: Fault Analysis and Predictive Maintenance☆13Updated last year
- Siddhartha80 / AI-Powered-Predictive-Maintenance-System-for-Vehicles-with-Real-Time-Data-Visualization-and-AnalysisGradient Boosting Models on Real-Time Sensor Data for AI-Enhanced Vehicle Predictive Maintenance. By using a web-based interface to forec…☆17Updated 3 months ago
- Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the re…☆49Updated last month
- Implementation of Paper 'Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning' by…☆11Updated 4 years ago
- This project deploys an AWS Lex V2 chatbot for analyzing IoT data stored in an S3 bucket. The infrastructure is defined using Terraform, …☆14Updated 5 months ago
- A tool to migrate users to Atlas from existing, self-managed, clusters☆10Updated last year
- Master Thesis for the MSc Sustainable Energy Futures, Imperial College London☆16Updated 7 years ago
- Long Short Term Memory(LSTM)☆34Updated 4 years ago
- ☆10Updated last month