Deep Learning for Knock Occurrence Prediction in SI Engines

Deep Learning for Knock Occurrence Prediction in SI Engines

This research aims to predict knock occurrences by deep learning using in-cylinder pressure history from experiments and to elucidate the period in pressure history that is most important for knock prediction. Supervised deep learning was conducted using in-cylinder pressure history as an input and...

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Bibliographic Details
Main Authors: Haruki Tajima, Takuya Tomidokoro, Takeshi Yokomori
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Energies
Subjects:
SI engine
in-cylinder pressure
knock
deep learning
deep neural network
imbalanced learning
Online Access:https://www.mdpi.com/1996-1073/15/24/9315

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