ENHANCED CAUSAL DIGRAPH REASONING FOR FAULT DIAGNOSIS WITH APPLICATION ON THE PAPER MACHINE SHORT CIRCULATION PROCESS

Hui Cheng; Mats Nikus; Sirkka-Liisa Jämsä-Jounela

ENHANCED CAUSAL DIGRAPH REASONING FOR FAULT DIAGNOSIS WITH APPLICATION ON THE PAPER MACHINE SHORT CIRCULATION PROCESS

Hui Cheng, Mats Nikus, Sirkka-Liisa Jämsä-Jounela

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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Abstract

This paper presents an enhanced dynamic causal digraph reasoning method for
fault diagnosis and its application to the short circulation process of a paper machine. In order to improve the isolation capability of the original method, an inference mechanism between the arcs of the graph is proposed to locate process faults on the arcs. Application of the proposed method to the paper machine short circulation process is presented at the end of the paper. The results show that the proposed method is able to identify the responsible arcs when the system is affected by a process fault.

Original language	English
Title of host publication	14th Nordic Process Control Workshop, Espoo, Finland, 23rd-25th August 2007
Editors	Sirkka-Liisa Jämsä-Jounela
Place of Publication	Espoo
Pages	136-141
Publication status	Published - 2007
MoE publication type	A4 Conference publication

Publication series

Name
ISSN (Print)	1455-4046

Keywords

Causal Digraph
Paper Machine
CUSUM

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enhanced causal digraph reasoning for fault diagnosis with application on the apaper machine short circulation processAccepted author manuscript, 455 KB

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title = "ENHANCED CAUSAL DIGRAPH REASONING FOR FAULT DIAGNOSIS WITH APPLICATION ON THE PAPER MACHINE SHORT CIRCULATION PROCESS",

abstract = "This paper presents an enhanced dynamic causal digraph reasoning method forfault diagnosis and its application to the short circulation process of a paper machine. In order to improve the isolation capability of the original method, an inference mechanism between the arcs of the graph is proposed to locate process faults on the arcs. Application of the proposed method to the paper machine short circulation process is presented at the end of the paper. The results show that the proposed method is able to identify the responsible arcs when the system is affected by a process fault.",

keywords = "Causal Digraph, Kalman filter, APROS, CUSUM method, Paper Machine, Causal Digraph, Kalman filter, APROS, CUSUM method, Paper Machine, Causal Digraph, Paper Machine, CUSUM",

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

year = "2007",

language = "English",

isbn = "978-951-22-8913-4",

pages = "136--141",

editor = "Sirkka-Liisa J{\"a}ms{\"a}-Jounela",

booktitle = "14th Nordic Process Control Workshop, Espoo, Finland, 23rd-25th August 2007",

}

ENHANCED CAUSAL DIGRAPH REASONING FOR FAULT DIAGNOSIS WITH APPLICATION ON THE PAPER MACHINE SHORT CIRCULATION PROCESS. / Cheng, Hui; Nikus, Mats; Jämsä-Jounela, Sirkka-Liisa.
14th Nordic Process Control Workshop, Espoo, Finland, 23rd-25th August 2007. ed. / Sirkka-Liisa Jämsä-Jounela. Espoo, 2007. p. 136-141.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - ENHANCED CAUSAL DIGRAPH REASONING FOR FAULT DIAGNOSIS WITH APPLICATION ON THE PAPER MACHINE SHORT CIRCULATION PROCESS

AU - Cheng, Hui

AU - Nikus, Mats

AU - Jämsä-Jounela, Sirkka-Liisa

PY - 2007

Y1 - 2007

N2 - This paper presents an enhanced dynamic causal digraph reasoning method forfault diagnosis and its application to the short circulation process of a paper machine. In order to improve the isolation capability of the original method, an inference mechanism between the arcs of the graph is proposed to locate process faults on the arcs. Application of the proposed method to the paper machine short circulation process is presented at the end of the paper. The results show that the proposed method is able to identify the responsible arcs when the system is affected by a process fault.

AB - This paper presents an enhanced dynamic causal digraph reasoning method forfault diagnosis and its application to the short circulation process of a paper machine. In order to improve the isolation capability of the original method, an inference mechanism between the arcs of the graph is proposed to locate process faults on the arcs. Application of the proposed method to the paper machine short circulation process is presented at the end of the paper. The results show that the proposed method is able to identify the responsible arcs when the system is affected by a process fault.

KW - Causal Digraph, Kalman filter, APROS, CUSUM method, Paper Machine

KW - Causal Digraph

KW - Paper Machine

KW - CUSUM

M3 - Conference article in proceedings

SN - 978-951-22-8913-4

SP - 136

EP - 141

BT - 14th Nordic Process Control Workshop, Espoo, Finland, 23rd-25th August 2007

A2 - Jämsä-Jounela, Sirkka-Liisa

CY - Espoo

ER -

ENHANCED CAUSAL DIGRAPH REASONING FOR FAULT DIAGNOSIS WITH APPLICATION ON THE PAPER MACHINE SHORT CIRCULATION PROCESS

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Keywords

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