Parth673/Digital-Twin-of-Wind-Turbine-Unity
Pratibimb is a digital twin of wind turbine made using unity pro.
This tool creates a virtual replica of a wind turbine, allowing you to visualize and interact with its behavior in real-time. It takes wind conditions and operational parameters as input, providing insights into power output predictions, system performance, and potential faults. Wind farm operators, energy engineers, and researchers can use this to optimize turbine efficiency and reliability.
No commits in the last 6 months.
Use this if you need to monitor, simulate, and predict the performance of a wind turbine under various environmental and operational scenarios.
Not ideal if you are looking for a simple data visualization tool without the need for interactive 3D simulation or predictive analytics.
Stars
8
Forks
1
Language
—
License
—
Category
Last pushed
Mar 28, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Parth673/Digital-Twin-of-Wind-Turbine-Unity"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
petrobras/BibMon
Python package that provides predictive models for fault detection, soft sensing, and process...
hustcxl/Deep-learning-in-PHM
Deep learning in PHM,Deep learning in fault diagnosis,Deep learning in remaining useful life prediction
kokikwbt/predictive-maintenance
Datasets for Predictive Maintenance
biswajitsahoo1111/rul_codes_open
This repository contains code that implement common machine learning algorithms for remaining...
tvhahn/weibull-knowledge-informed-ml
Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets....