Predictive Maintenance Intelligence

AI-Driven Asset Life Extension for Power Generation

Upload your asset health data to predict Remaining Useful Life (RUL) and receive automated maintenance recommendations. Supports CSV files with equipment degradation history.

Test with Your Own Data

Upload a CSV file with your asset health history. Required columns:

  • cycle - Operating cycle number
  • health_index - Health score (0-100%)

Optional columns: vibration, heat_rate_delta, operating_hours, start_count

Sample Data Format

Technical Specifications

Component Details
RUL Model LSTM Neural Network (2 layers, 64→32 units)
Training Data NASA C-MAPSS + GE Frame 7FA patterns
Input Features Health index, vibration, heat rate, operating hours
Output Remaining Useful Life (cycles) + Maintenance Strategy

Supported Assets: Gas Turbines, Compressors, Steam Turbines, Generators, Transformers