Predictive Agent
LSTM-Based RUL Prediction
Tech Stack
Python • Scikit-Learn • LSTM • Plotly • Docker • CI/CD
15-20%Life Extension
LSTMModel
NASAC-MAPSS
Overview
RUL prediction system extending turbine life 15-20% using LSTM neural networks trained on NASA C-MAPSS and GE 7FA patterns.
Problem
Power plant operators need to predict equipment failures before they happen to schedule maintenance proactively.
Solution
LSTM model trained on NASA C-MAPSS data, adapted for GE Frame 7FA turbines, predicting Remaining Useful Life from sensor degradation patterns.
Architecture
Sensor History → Feature Engineering → LSTM Model → RUL Estimation → Maintenance Strategy