Estimation Method of Knocking Sound and In-cylinder Pressure from Engine Radiation Noise by Deep Learning (Third Report)

The deep learning model the authors developed estimates knocking sound pressure and knocking component superimposed on in-cylinder pressure from engine radiation noise measured by a microphone. This model obtains the time frequency mask and frequency response from many pair data of engine radiation noise and in-cylinder pressure. The time frequency mask extracts the knocking sound from engine radiation noise. The frequency response converts the extracted knocking sound into the knocking component superimposed on in-cylinder pressure. The authors propose an improved model to separate the knocking sound from the engine radiated sound in order to evaluate the magnitude of the knocking sound.

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  • English
  • Japanese

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Filing Info

  • Accession Number: 01767522
  • Record Type: Publication
  • Source Agency: Japan Science and Technology Agency (JST)
  • Files: TRIS, JSTAGE
  • Created Date: Feb 18 2021 3:44PM