piyuVR/Predictive-Maintenance-of-Motor
This project can predict that your motor can work or fail. This model works on the basis of a dataset attach with this project. Unsupervised learning is used in this project.
This tool helps maintenance teams or plant managers predict whether an industrial motor is likely to fail or continue working normally. By analyzing historical motor operational data, it provides an assessment of the motor's current health status, helping you anticipate potential breakdowns. It's designed for anyone responsible for keeping motors operational and avoiding unexpected downtime.
No commits in the last 6 months.
Use this if you want to move from reactive to proactive maintenance by predicting motor failures before they occur.
Not ideal if you need detailed diagnostics on the specific cause of motor failure or prescriptive recommendations for repair.
Stars
7
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Dec 05, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/piyuVR/Predictive-Maintenance-of-Motor"
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....