A Machine-Learning Approach to Information Extraction from Cylinder Pressure Sensors

Maria Henningsson; Bo Bernhardsson; Per Tunestål; Rolf Johansson

doi:10.4271/2012-01-0440

A Machine-Learning Approach to Information Extraction from Cylinder Pressure Sensors

Maria Henningsson, Bo Bernhardsson, Per Tunestål, Rolf Johansson

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Original language	English
Title of host publication	SAE Technical Paper
Publisher	Society of Automotive Engineers
DOIs	https://doi.org/10.4271/2012-01-0440
Publication status	Published - 2012
Event	SAE 2012 World Congress - Detroit, Michigan, United States Duration: 2012 Apr 24 → …

Publication series

Name	SAE Technical Paper Series
Publisher	SAE International
ISSN (Print)	0148-7191

Conference

Conference	SAE 2012 World Congress
Country/Territory	United States
City	Detroit, Michigan
Period	2012/04/24 → …

Bibliographical note

key=henn_etal2012sae

Subject classification (UKÄ)

Control Engineering

Access to Document

10.4271/2012-01-0440

http://papers.sae.org/2012-01-0440

Diesel HCCI in a Multi-Cylinder Engine
Tunestål, P. (PI), Henningsson, M. (Research student) & Johansson, R. (Supervisor)
2009/02/06 → 2011/12/31
Project: Research

Cite this

@inproceedings{58601dea939749b0bfb39bd5b2967242,

title = "A Machine-Learning Approach to Information Extraction from Cylinder Pressure Sensors",

author = "Maria Henningsson and Bo Bernhardsson and Per Tunest{\aa}l and Rolf Johansson",

note = "key=henn_etal2012sae; SAE 2012 World Congress ; Conference date: 24-04-2012",

year = "2012",

doi = "10.4271/2012-01-0440",

language = "English",

series = "SAE Technical Paper Series",

publisher = "Society of Automotive Engineers",

booktitle = "SAE Technical Paper",

address = "United States",

}

TY - GEN

T1 - A Machine-Learning Approach to Information Extraction from Cylinder Pressure Sensors

AU - Henningsson, Maria

AU - Bernhardsson, Bo

AU - Tunestål, Per

AU - Johansson, Rolf

N1 - key=henn_etal2012sae

PY - 2012

Y1 - 2012

U2 - 10.4271/2012-01-0440

DO - 10.4271/2012-01-0440

M3 - Paper in conference proceeding

T3 - SAE Technical Paper Series

BT - SAE Technical Paper

PB - Society of Automotive Engineers

T2 - SAE 2012 World Congress

Y2 - 24 April 2012

ER -

A Machine-Learning Approach to Information Extraction from Cylinder Pressure Sensors

Publication series

Conference

Bibliographical note

Subject classification (UKÄ)

Access to Document

Projects

Diesel HCCI in a Multi-Cylinder Engine

Cite this