milank94/motor-fault-classification
The following is a machine learning project to classify induction motor fault modes.
This helps operations engineers and maintenance technicians automatically identify specific types of faults in industrial induction motors. By analyzing sensor data from motors, it can tell you if a motor is healthy, has a rotor fault, or a bearing fault. It's designed for professionals responsible for maintaining industrial machinery.
No commits in the last 6 months.
Use this if you need to quickly and accurately diagnose common problems with induction motors to prevent costly breakdowns.
Not ideal if you're looking to predict obscure or highly specific motor failure modes beyond rotor and bearing faults, or if you don't have existing motor sensor data.
Stars
34
Forks
13
Language
Python
License
—
Category
Last pushed
Oct 24, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/milank94/motor-fault-classification"
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....