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Smart Wash Predictor

System Introduction

GT-SPS predicts the next filter cleaning time considering the performance of the gas turbine and the contamination level of the compressor filters. By applying deep learning technology in artificial intelligence (AI), the system learns the process of efficiency degradation over accumulated operating time and suggests the optimal cleaning timing to the users, aiming to keep the system in its most ideal state immediately after cleaning.

Main functions

  • Deep Learning Algorithm
  • Long short-term memory (LSTM)
  • Principal component analysis (PCA)

Application Field

  • Filter cleaning required for Gas Turbine model

Use Case

[Gas Turbine Compressor Cleaning Timing Prediction Screen]