Predictive Maintenance System using LSTM

An AI-powered predictive maintenance system for CNC machines that uses an LSTM (Long Short-Term Memory) model to analyze time-series sensor data and predict potential machine failures before they occur.

Features

• LSTM-based machine failure prediction
• Real-time machine health monitoring
• Interactive Plotly dashboard
• Flask web application
• Time-series sensor data analysis

Tech Stack

• Python
• TensorFlow / Keras
• Flask
• Pandas
• NumPy
• Scikit-learn
• Plotly

Project Structure

├── predictive_maintenance_cnc_flask_lstm.py
├── predictive_maintenance_cnc_flask_plotly_dark.py
├── train_lstm_cnc.py
├── lstm_cnc_model.h5
├── scaler_cnc.pkl
├── cnc_log_threshold_breaking.csv
├── .gitignore
└── README.md

How to Run

git clone https://github.com/maheshkhot-codes/Predictive-Maintenance-LSTM.git
cd Predictive-Maintenance-LSTM
pip install -r requirements.txt
python predictive_maintenance_cnc_flask_lstm.py

Future Improvements

• Live IoT sensor integration
• Email and SMS alerts
• Cloud deployment
• Multi-machine monitoring

Author

Mahesh Khot