Novel Causal Digraph Reasoning For Fault Diagnosis with Application on the Paper Machine Short Circulation Process

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

doi:10.3182/20080706-5-KR-1001.01884

Novel Causal Digraph Reasoning For Fault Diagnosis with Application on the Paper Machine Short Circulation Process

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

Tutkimustuotos: Lehtiartikkeli › Conference article › Scientific › vertaisarvioitu

Abstrakti

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.

Alkuperäiskieli	Englanti
Sivut	11118-11123
Julkaisu	IFAC PROCEEDINGS VOLUMES
Vuosikerta	41
Numero	2
DOI - pysyväislinkit	https://doi.org/10.3182/20080706-5-KR-1001.01884
Tila	Julkaistu - 2008
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IFAC World Congress - Seoul, Etelä-Korea Kesto: 6 heinäk. 2008 → 11 heinäk. 2008 Konferenssinumero: 17

Tutkimusalat

Methods based on discrete event models, on hybrid or on qualitative models for FDI, Process performance monitoring/statistical process control, Distributed fault detection and isolation

Pääsy asiakirjaan

10.3182/20080706-5-KR-1001.01884

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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.",

keywords = "Methods based on discrete event models, on hybrid or on qualitative models for FDI, Process performance monitoring/statistical process control, Distributed fault detection and isolation, Methods based on discrete event models, on hybrid or on qualitative models for FDI, Process performance monitoring/statistical process control, Distributed fault detection and isolation, Methods based on discrete event models, on hybrid or on qualitative models for FDI, Process performance monitoring/statistical process control, Distributed fault detection and isolation",

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

year = "2008",

doi = "10.3182/20080706-5-KR-1001.01884",

language = "English",

volume = "41",

pages = "11118--11123",

journal = "IFAC PROCEEDINGS VOLUMES",

issn = "1474-6670",

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

number = "2",

note = "IFAC World Congress, IFAC ; Conference date: 06-07-2008 Through 11-07-2008",

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TY - JOUR

T1 - Novel 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

N1 - Conference code: 17

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - Methods based on discrete event models, on hybrid or on qualitative models for FDI, Process performance monitoring/statistical process control, Distributed fault detection and isolation

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U2 - 10.3182/20080706-5-KR-1001.01884

DO - 10.3182/20080706-5-KR-1001.01884

M3 - Conference article

SN - 1474-6670

VL - 41

SP - 11118

EP - 11123

JO - IFAC PROCEEDINGS VOLUMES

JF - IFAC PROCEEDINGS VOLUMES

IS - 2

T2 - IFAC World Congress

Y2 - 6 July 2008 through 11 July 2008

ER -

Novel Causal Digraph Reasoning For Fault Diagnosis with Application on the Paper Machine Short Circulation Process

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