Multi-load knock detection of a marine micro-ignition diesel (DI) -natural gas (PFI) dual-fuel engine based on in-cylinder pressure signals

A new knock definition was proposed to satisfy the unified knock detection under various engine loads based on in-cylinder pressure signals. Knock indices such as maximum amplitude pressure oscillation (MAPO), maximum pressure rise rate (MPRR), peak pressure (P max ), arithmetic mean, standard deviation and so on were investigated. The standard deviation and arithmetic mean were found to have a high correlation with MAPO. However, these knock indicators cannot use a fixed value to meet the requirements of knock detection under different engine loads. Time-frequency analysis was conducted to investigate the knock characteristics under various engine loads. There is a significant increase in the energy of 8–12 kHz frequency domain when knock occurs, which may use for effective knock detection. Further analysis of the cylinder pressure signal by using Discrete Wavelet Transform (DWT) revealed that the energy proportion of the 8–12 kHz energy segment in the D2 sub-band can well distinguish the knock phenomenon under different engine loads. Therefore, a new definition P n which clearly distinguishes the knock cycles from normal cycles regardless of engine loads was proposed and validated by comparing it to the MAPO.

Authors

Institutions

Publication Details

Journal
Case Studies in Thermal Engineering
Published
2025-02-18
DOI
https://doi.org/10.1016/j.csite.2025.105918
Citations
2
Primary Topic
Advanced Combustion Engine Technologies
Type
article
Field-Weighted Citation Impact
1.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-load knock detection of a marine micro-ignition diesel (DI) -natural gas (PFI) dual-fuel engine based on in-cylinder pressure signals

Jianguo Yang, Nao Hu, Liangtao Xie, Hongmei Li et al.
2 citations
Case Studies in Thermal Engineering
Advanced Combustion Engine Technologies
1.44
article

Multi-load knock detection of a marine micro-ignition diesel (DI) -natural gas (PFI) dual-fuel engine based on in-cylinder pressure signals

Jianguo Yang, Nao Hu, Liangtao Xie, Hongmei Li, He Zhao, Gang Chen, Xianquan Zheng, Fuze Liu
article en
2 citations

Abstract

A new knock definition was proposed to satisfy the unified knock detection under various engine loads based on in-cylinder pressure signals. Knock indices such as maximum amplitude pressure oscillation (MAPO), maximum pressure rise rate (MPRR), peak pressure (P max ), arithmetic mean, standard deviation and so on were investigated. The standard deviation and arithmetic mean were found to have a high correlation with MAPO. However, these knock indicators cannot use a fixed value to meet the requirements of knock detection under different engine loads. Time-frequency analysis was conducted to investigate the knock characteristics under various engine loads. There is a significant increase in the energy of 8–12 kHz frequency domain when knock occurs, which may use for effective knock detection. Further analysis of the cylinder pressure signal by using Discrete Wavelet Transform (DWT) revealed that the energy proportion of the 8–12 kHz energy segment in the D2 sub-band can well distinguish the knock phenomenon under different engine loads. Therefore, a new definition P n which clearly distinguishes the knock cycles from normal cycles regardless of engine loads was proposed and validated by comparing it to the MAPO.

Case Studies in Thermal EngineeringVol. 68
Shanghai Jiao Tong University (CN), Naval University of Engineering (CN), Ministry of Transport (CN), Marine Design & Research Institute of China (CN)
Life below water
Openalex Percentile: Top 23%
Advanced Combustion Engine Technologies
1.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.