Actuator fault diagnosis using single and meta-classification strategies

Mateusz Kalisch; Piotr Przystałka; Anna Timofiejczuk

doi:10.1007/978-3-319-28868-0_8

Actuator fault diagnosis using single and meta-classification strategies

Katedra Podstaw Konstrukcji Maszyn (RMT/RMT6)

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

5 Cytowania z bazy Scopus

Abstrakt

The paper presents the application of various classification schemes for actuator fault diagnosis in industrial systems. The main objective of this study is to compare either single or metaclassification strategies that can be successfully used as reasoning means in the diagnostic expert system that is realized within the frame of the DISESOR project. The applied research was conducted on the assumption that classic as well as soft computing classification methods would be adopted. The comparison study was carried out within the DAMADICS benchmark problem which provides a popular framework for confronting different approaches in the development of fault diagnosis systems.

Język oryginału	angielski
Tytuł publikacji goszczącej	Artificial Intelligence for Knowledge Management - 2nd IFIP WG 12.6 International Workshop, AI4KM 2014, Revised Selected Papers
Redaktorzy	Mieczysław Lech Owoc, Eunika Mercier-Laurent, Danielle Boulanger
Wydawca	Springer New York LLC
Strony	132-149
Liczba stron	18
ISBN (drukowany)	9783319288673
Identyfikatory DOI	https://doi.org/10.1007/978-3-319-28868-0_8
Status publikacji	Opublikowano - 2015
Wydarzenie	2nd IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2014 - Warsaw, Polska Czas trwania: 7 wrz 2014 → 10 wrz 2014

Seria publikacji

Nazwa	IFIP Advances in Information and Communication Technology
Tom	469
ISSN (drukowany)	1868-4238

Konferencja

Konferencja	2nd IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2014
Kraj/Terytorium	Polska
Miejscowość	Warsaw
Okres	7/09/14 → 10/09/14

Obszary tematyczne ASJC Scopus

Systemy informacyjne
Sieci komputerowe i komunikacja
Systemy informacyjne i zarządzanie

Uzyskaj dostęp do dokumentu

10.1007/978-3-319-28868-0_8

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Link do publikacji w Scopus

Cytowanie

Kalisch, M., Przystałka, P., & Timofiejczuk, A. (2015). Actuator fault diagnosis using single and meta-classification strategies. W M. L. Owoc, E. Mercier-Laurent, & D. Boulanger (Red.), Artificial Intelligence for Knowledge Management - 2nd IFIP WG 12.6 International Workshop, AI4KM 2014, Revised Selected Papers (str. 132-149). (IFIP Advances in Information and Communication Technology; Tom 469). Springer New York LLC. https://doi.org/10.1007/978-3-319-28868-0_8

Kalisch, Mateusz ; Przystałka, Piotr ; Timofiejczuk, Anna. / Actuator fault diagnosis using single and meta-classification strategies. Artificial Intelligence for Knowledge Management - 2nd IFIP WG 12.6 International Workshop, AI4KM 2014, Revised Selected Papers. redaktor / Mieczysław Lech Owoc ; Eunika Mercier-Laurent ; Danielle Boulanger. Springer New York LLC, 2015. str. 132-149 (IFIP Advances in Information and Communication Technology).

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title = "Actuator fault diagnosis using single and meta-classification strategies",

abstract = "The paper presents the application of various classification schemes for actuator fault diagnosis in industrial systems. The main objective of this study is to compare either single or metaclassification strategies that can be successfully used as reasoning means in the diagnostic expert system that is realized within the frame of the DISESOR project. The applied research was conducted on the assumption that classic as well as soft computing classification methods would be adopted. The comparison study was carried out within the DAMADICS benchmark problem which provides a popular framework for confronting different approaches in the development of fault diagnosis systems.",

author = "Mateusz Kalisch and Piotr Przysta{\l}ka and Anna Timofiejczuk",

note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2015; 2nd IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2014 ; Conference date: 07-09-2014 Through 10-09-2014",

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doi = "10.1007/978-3-319-28868-0\_8",

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Kalisch, M , Przystałka, P & Timofiejczuk, A 2015, Actuator fault diagnosis using single and meta-classification strategies. w ML Owoc, E Mercier-Laurent & D Boulanger (red), Artificial Intelligence for Knowledge Management - 2nd IFIP WG 12.6 International Workshop, AI4KM 2014, Revised Selected Papers. IFIP Advances in Information and Communication Technology, tom 469, Springer New York LLC, str. 132-149, 2nd IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2014, Warsaw, Polska, 7/09/14. https://doi.org/10.1007/978-3-319-28868-0_8

Actuator fault diagnosis using single and meta-classification strategies. / Kalisch, Mateusz ; Przystałka, Piotr ; Timofiejczuk, Anna.
Artificial Intelligence for Knowledge Management - 2nd IFIP WG 12.6 International Workshop, AI4KM 2014, Revised Selected Papers. red. / Mieczysław Lech Owoc; Eunika Mercier-Laurent; Danielle Boulanger. Springer New York LLC, 2015. str. 132-149 (IFIP Advances in Information and Communication Technology; Tom 469).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

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AU - Timofiejczuk, Anna

N1 - Publisher Copyright: © IFIP International Federation for Information Processing 2015

PY - 2015

Y1 - 2015

N2 - The paper presents the application of various classification schemes for actuator fault diagnosis in industrial systems. The main objective of this study is to compare either single or metaclassification strategies that can be successfully used as reasoning means in the diagnostic expert system that is realized within the frame of the DISESOR project. The applied research was conducted on the assumption that classic as well as soft computing classification methods would be adopted. The comparison study was carried out within the DAMADICS benchmark problem which provides a popular framework for confronting different approaches in the development of fault diagnosis systems.

AB - The paper presents the application of various classification schemes for actuator fault diagnosis in industrial systems. The main objective of this study is to compare either single or metaclassification strategies that can be successfully used as reasoning means in the diagnostic expert system that is realized within the frame of the DISESOR project. The applied research was conducted on the assumption that classic as well as soft computing classification methods would be adopted. The comparison study was carried out within the DAMADICS benchmark problem which provides a popular framework for confronting different approaches in the development of fault diagnosis systems.

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DO - 10.1007/978-3-319-28868-0_8

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BT - Artificial Intelligence for Knowledge Management - 2nd IFIP WG 12.6 International Workshop, AI4KM 2014, Revised Selected Papers

A2 - Owoc, Mieczysław Lech

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PB - Springer New York LLC

T2 - 2nd IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2014

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Kalisch M , Przystałka P , Timofiejczuk A. Actuator fault diagnosis using single and meta-classification strategies. W Owoc ML, Mercier-Laurent E, Boulanger D, redaktorzy, Artificial Intelligence for Knowledge Management - 2nd IFIP WG 12.6 International Workshop, AI4KM 2014, Revised Selected Papers. Springer New York LLC. 2015. str. 132-149. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-319-28868-0_8

Actuator fault diagnosis using single and meta-classification strategies

Abstrakt

Seria publikacji

Konferencja

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

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Cytowanie