Machine Learning Techniques for Monitoring of Knock Intensity in Gas-Fueled Marine Engines

DOI10.1007/978-3-030-85318-1_36zbMath1504.93270OpenAlexW4285126262MaRDI QIDQ5054301

Oleksiy Bondarenko, Tetsugo Fukuda

Publication date: 29 November 2022

Published in: Lecture Notes in Control and Information Sciences - Proceedings (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-85318-1_36

zbMATH Keywords

machine learningfeature engineeringgas engine knock

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Fuzzy control/observation systems (93C42) Application models in control theory (93C95)

Cites Work

• Study of engine noise based on independent component analysis
• The vectorization of ITPACK 2C
• Unnamed Item

This page was built for publication: Machine Learning Techniques for Monitoring of Knock Intensity in Gas-Fueled Marine Engines