akhil-b-26/automotive-engine-health-detection-deeplearning
A high-accuracy deep learning model that classifies vehicle engine health as Healthy or Unhealthy based on real-time sensor data. Built using TensorFlow/Keras and trained on a Kaggle dataset to support predictive maintenance.
No commits in the last 6 months.
Stars
1
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 05, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/akhil-b-26/automotive-engine-health-detection-deeplearning"
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....