Causal model based fault diagnosis applied on a paper machine simulator

Hui Cheng; Mats Nikus; S-L Jämsä-Jounela

Causal model based fault diagnosis applied on a paper machine simulator

Hui Cheng, Mats Nikus, S-L Jämsä-Jounela

Tutkimustuotos: Lehtiartikkeli › Conference article › Scientific › vertaisarvioitu

4 Sitaatiot (Scopus)

294 Lataukset (Pure)

Abstrakti

The aim of the work presented in this paper is to evaluate the ability of the causal digraph method to detect and isolate faults on a simulated paper machine process. A causal digraph model for the short circulation process of the paper machine was constructed, identified and used to detect and isolate artificial faults in the simulation environment. The fault of headbox slice opening was studied and diagnosed.

Alkuperäiskieli	Englanti
Sivut	214-219
Julkaisu	IFAC PROCEEDINGS VOLUMES
Vuosikerta	39
Numero	14
Tila	Julkaistu - 2006
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IFAC Workshop Applications of Large Scale Industrial Systems - Helsinki, Suomi Kesto: 30 elok. 2006 → 31 elok. 2006 Konferenssinumero: 1

Tutkimusalat

Fault detection, Fault isolation, causal digraph, papermaking, APROS simulator

Pääsy asiakirjaan

causal model based fault diagnosis applied on a paper machine simulatorAccepted author manuscript, 2,45 MB

Siteeraa tätä

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title = "Causal model based fault diagnosis applied on a paper machine simulator",

abstract = "The aim of the work presented in this paper is to evaluate the ability of the causal digraph method to detect and isolate faults on a simulated paper machine process. A causal digraph model for the short circulation process of the paper machine was constructed, identified and used to detect and isolate artificial faults in the simulation environment. The fault of headbox slice opening was studied and diagnosed.",

keywords = "Fault detection, Fault isolation, causal digraph, papermaking, APROS simulator, Fault detection, Fault isolation, causal digraph, papermaking, APROS simulator, Fault detection, fault isolation, causal digraph, papermaking, APROS simulator",

author = "Hui Cheng and Mats Nikus and S-L J{\"a}ms{\"a}-Jounela",

year = "2006",

language = "English",

volume = "39",

pages = "214--219",

journal = "IFAC PROCEEDINGS VOLUMES",

issn = "1474-6670",

publisher = "International Federation of Automatic Control (IFAC)",

number = "14",

note = "IFAC Workshop Applications of Large Scale Industrial Systems, ALSIS ; Conference date: 30-08-2006 Through 31-08-2006",

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TY - JOUR

T1 - Causal model based fault diagnosis applied on a paper machine simulator

AU - Cheng, Hui

AU - Nikus, Mats

AU - Jämsä-Jounela, S-L

N1 - Conference code: 1

PY - 2006

Y1 - 2006

N2 - The aim of the work presented in this paper is to evaluate the ability of the causal digraph method to detect and isolate faults on a simulated paper machine process. A causal digraph model for the short circulation process of the paper machine was constructed, identified and used to detect and isolate artificial faults in the simulation environment. The fault of headbox slice opening was studied and diagnosed.

AB - The aim of the work presented in this paper is to evaluate the ability of the causal digraph method to detect and isolate faults on a simulated paper machine process. A causal digraph model for the short circulation process of the paper machine was constructed, identified and used to detect and isolate artificial faults in the simulation environment. The fault of headbox slice opening was studied and diagnosed.

KW - Fault detection, Fault isolation, causal digraph, papermaking, APROS simulator

KW - Fault detection

KW - fault isolation

KW - causal digraph

KW - papermaking

KW - APROS simulator

M3 - Conference article

SN - 1474-6670

VL - 39

SP - 214

EP - 219

JO - IFAC PROCEEDINGS VOLUMES

JF - IFAC PROCEEDINGS VOLUMES

IS - 14

T2 - IFAC Workshop Applications of Large Scale Industrial Systems

Y2 - 30 August 2006 through 31 August 2006

ER -

Causal model based fault diagnosis applied on a paper machine simulator

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