Fault Diagnosis Methods and their Applications in the Process industry

Sirkka-Liisa Jämsä-Jounela

Fault Diagnosis Methods and their Applications in the Process industry

Sirkka-Liisa Jämsä-Jounela

Department of Chemical and Metallurgical Engineering

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

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Abstract

Global competition is forcing the process industry to optimize the production processes. One key factor in optimization is effective process state monitoring and fault diagnosis. Another motivator to improve process monitoring systems is the substantial losses of revenue resulting from abnormal process conditions. In recent years there has been an increasing interest in applying different process monitoring and fault diagnosis systems and as a result a large number of successful applications have been reported. In this paper the model and data-based FDD methods and their applications in the process industry are reviewed and discussed. The paper ends with the large scale case studies from the mineral processing, oil
refining and pulp and paper industry.

Original language	English
Title of host publication	COSY International conference on complex systems: synergy of control, communications and computing, COSY 2011
Editors	Tatjana Kolemisevska-Gugulovska, Mile Stankovski
Place of Publication	Skopje
Publisher	IFAC NMO of Macedonia
Pages	201-206
ISBN (Print)	978-9989-2175-8-6
Publication status	Published - 2011
MoE publication type	A4 Conference publication

Keywords

Process Monitoring
Fault Diagnosis
Industrial Application
Large Scale Systems

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fault diagnosis methods and their applications in the process industryAccepted author manuscript, 1.88 MB

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title = "Fault Diagnosis Methods and their Applications in the Process industry",

abstract = "Global competition is forcing the process industry to optimize the production processes. One key factor in optimization is effective process state monitoring and fault diagnosis. Another motivator to improve process monitoring systems is the substantial losses of revenue resulting from abnormal process conditions. In recent years there has been an increasing interest in applying different process monitoring and fault diagnosis systems and as a result a large number of successful applications have been reported. In this paper the model and data-based FDD methods and their applications in the process industry are reviewed and discussed. The paper ends with the large scale case studies from the mineral processing, oilrefining and pulp and paper industry.",

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Fault Diagnosis Methods and their Applications in the Process industry. / Jämsä-Jounela, Sirkka-Liisa.
COSY International conference on complex systems: synergy of control, communications and computing, COSY 2011. ed. / Tatjana Kolemisevska-Gugulovska; Mile Stankovski. Skopje: IFAC NMO of Macedonia, 2011. p. 201-206.

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

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AB - Global competition is forcing the process industry to optimize the production processes. One key factor in optimization is effective process state monitoring and fault diagnosis. Another motivator to improve process monitoring systems is the substantial losses of revenue resulting from abnormal process conditions. In recent years there has been an increasing interest in applying different process monitoring and fault diagnosis systems and as a result a large number of successful applications have been reported. In this paper the model and data-based FDD methods and their applications in the process industry are reviewed and discussed. The paper ends with the large scale case studies from the mineral processing, oilrefining and pulp and paper industry.

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KW - Fault Diagnosis

KW - Industrial Application

KW - Large Scale Systems

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BT - COSY International conference on complex systems: synergy of control, communications and computing, COSY 2011

A2 - Kolemisevska-Gugulovska, Tatjana

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PB - IFAC NMO of Macedonia

CY - Skopje

ER -

Fault Diagnosis Methods and their Applications in the Process industry

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Keywords

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