Estimation of combustion parameters from engine vibrations based on discrete wavelet transform and gradient boosting

HIGHLIGHTS

  • who: Achilles Kefalas et al. from the Institute of Thermodynamics and Sustainable Propulsion Systems, Graz University of Technology have published the research work: Estimation of Combustion Parameters from Engine Vibrations Based on Discrete Wavelet Transform and Gradient Boosting, in the Journal: Sensors 2022, 22, 4235. of /2022/
  • what: This work introduces a data-driven approach where a signal-processing technique designated as discrete wavelet transform (DWT) will be used as the preprocessing step for extracting informative features to perform regression tasks of the selected combustion parameters with extreme gradient boosting (XGBoost) regression models. In the . . .

     

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