Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification

Stephan Winkler; Markus Hirsch; Michael Affenzeller; Luigi Del Re; Stefan Wagner

doi:10.1007/978-3-642-04772-5_85

Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification

Stephan Winkler, Markus Hirsch, Michael Affenzeller, Luigi Del Re, Stefan Wagner

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

5 Zitate (Scopus)

Abstract

In this paper we discuss the generation of models for emissions of a Diesel engine, produced by genetic programming based evolutionary system identification: Models for the formation of NOx and particulate matter emissions are identified and analyzed. We compare these models to models designed by experts applying variables section and the identification of local polynomial models; analyzing the results summarized in the empirical part of this paper we see that the use of enhanced genetic programming yields models for emissions that are valid not only in certain parts of the parameter space but can be used as global virtual sensors.

Originalsprache	Englisch
Titel	Computer Aided Systems Theory, EUROCAST 2009 - 12th International Conference, Revised Selected Papers
Seiten	657-664
Seitenumfang	8
Band	5717
Auflage	1
DOIs	https://doi.org/10.1007/978-3-642-04772-5_85
Publikationsstatus	Veröffentlicht - Sep. 2009
Veranstaltung	Twelve International Conference on Computer Aided Systems Theory 2009 - Las Palmas, Spanien Dauer: 15 Feb. 2009 → 20 Feb. 2009 http://www.iuctc.ulpgc.es/spain/eurocast2009/index.html

Publikationsreihe

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band	5717 LNCS
ISSN (Print)	0302-9743
ISSN (elektronisch)	1611-3349

Konferenz

Konferenz	Twelve International Conference on Computer Aided Systems Theory 2009
Land/Gebiet	Spanien
Ort	Las Palmas
Zeitraum	15.02.2009 → 20.02.2009
Internetadresse	http://www.iuctc.ulpgc.es/spain/eurocast2009/index.html

Zugriff auf Dokument

10.1007/978-3-642-04772-5_85

Andere Dateien und Links

Link zur Publikation in Scopus

Zitieren

Winkler, S., Hirsch, M., Affenzeller, M., Del Re, L., & Wagner, S. (2009). Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification. in Computer Aided Systems Theory, EUROCAST 2009 - 12th International Conference, Revised Selected Papers (1 Aufl., Band 5717, S. 657-664). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 5717 LNCS). https://doi.org/10.1007/978-3-642-04772-5_85

Winkler, Stephan ; Hirsch, Markus ; Affenzeller, Michael et al. / Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification. Computer Aided Systems Theory, EUROCAST 2009 - 12th International Conference, Revised Selected Papers. Band 5717 1. Aufl. 2009. S. 657-664 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{56938b9a36c842ceb44dc4bd89a3529c,

title = "Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification",

abstract = "In this paper we discuss the generation of models for emissions of a Diesel engine, produced by genetic programming based evolutionary system identification: Models for the formation of NOx and particulate matter emissions are identified and analyzed. We compare these models to models designed by experts applying variables section and the identification of local polynomial models; analyzing the results summarized in the empirical part of this paper we see that the use of enhanced genetic programming yields models for emissions that are valid not only in certain parts of the parameter space but can be used as global virtual sensors.",

author = "Stephan Winkler and Markus Hirsch and Michael Affenzeller and {Del Re}, Luigi and Stefan Wagner",

year = "2009",

month = sep,

doi = "10.1007/978-3-642-04772-5_85",

language = "English",

isbn = "3642047718",

volume = "5717",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "657--664",

booktitle = "Computer Aided Systems Theory, EUROCAST 2009 - 12th International Conference, Revised Selected Papers",

edition = "1",

url = "http://www.iuctc.ulpgc.es/spain/eurocast2009/index.html",

}

Winkler, S, Hirsch, M, Affenzeller, M, Del Re, L & Wagner, S 2009, Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification. in Computer Aided Systems Theory, EUROCAST 2009 - 12th International Conference, Revised Selected Papers. 1 Aufl., Bd. 5717, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 5717 LNCS, S. 657-664, Twelve International Conference on Computer Aided Systems Theory 2009, Las Palmas, Spanien, 15.02.2009. https://doi.org/10.1007/978-3-642-04772-5_85

Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification. / Winkler, Stephan; Hirsch, Markus; Affenzeller, Michael et al.
Computer Aided Systems Theory, EUROCAST 2009 - 12th International Conference, Revised Selected Papers. Band 5717 1. Aufl. 2009. S. 657-664 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 5717 LNCS).

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification

AU - Winkler, Stephan

AU - Hirsch, Markus

AU - Affenzeller, Michael

AU - Del Re, Luigi

AU - Wagner, Stefan

PY - 2009/9

Y1 - 2009/9

N2 - In this paper we discuss the generation of models for emissions of a Diesel engine, produced by genetic programming based evolutionary system identification: Models for the formation of NOx and particulate matter emissions are identified and analyzed. We compare these models to models designed by experts applying variables section and the identification of local polynomial models; analyzing the results summarized in the empirical part of this paper we see that the use of enhanced genetic programming yields models for emissions that are valid not only in certain parts of the parameter space but can be used as global virtual sensors.

AB - In this paper we discuss the generation of models for emissions of a Diesel engine, produced by genetic programming based evolutionary system identification: Models for the formation of NOx and particulate matter emissions are identified and analyzed. We compare these models to models designed by experts applying variables section and the identification of local polynomial models; analyzing the results summarized in the empirical part of this paper we see that the use of enhanced genetic programming yields models for emissions that are valid not only in certain parts of the parameter space but can be used as global virtual sensors.

UR - http://www.scopus.com/inward/record.url?scp=78651227589&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-04772-5_85

DO - 10.1007/978-3-642-04772-5_85

M3 - Conference contribution

SN - 3642047718

SN - 9783642047718

VL - 5717

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 657

EP - 664

BT - Computer Aided Systems Theory, EUROCAST 2009 - 12th International Conference, Revised Selected Papers

T2 - Twelve International Conference on Computer Aided Systems Theory 2009

Y2 - 15 February 2009 through 20 February 2009

ER -

Winkler S, Hirsch M, Affenzeller M, Del Re L, Wagner S. Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification. in Computer Aided Systems Theory, EUROCAST 2009 - 12th International Conference, Revised Selected Papers. 1 Aufl. Band 5717. 2009. S. 657-664. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-04772-5_85

Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification

Abstract

Publikationsreihe

Konferenz

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

Zitieren