The aim of this project is to develop an automated sensor fault detection system for Scania trucks that can identify and diagnose sensor faults in real-time. The system should be able to detect faults in a wide range of sensors, including those used to monitor engine performance, fuel efficiency, and safety features. The goal is to improve the overall reliability and safety of Scania trucks by quickly identifying and addressing sensor faults, reducing the risk of accidents and downtime caused by equipment failure.
💿 Installing
- Environment setup.
conda create --prefix venv python==3.8 -y
conda activate venv/
- Install Requirements and setup
pip install -r requirements.txt
- Run Application
python app.py
🔧 Built with
- flask
- Python 3.8
- Machine learning
- Scikit learn
- 🏦 Industrial Use Cases
conda create -p env python=3.8 -y conda activate ./env pip install -r requirements.txt python setup.py install
create src,setup.py ,.gitignore,notebooks