Fault Diagnosis Methods and their Applications in the Process industry

Sirkka-Liisa Jämsä-Jounela

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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 languageEnglish
Title of host publicationCOSY International conference on complex systems: synergy of control, communications and computing, COSY 2011
EditorsTatjana Kolemisevska-Gugulovska, Mile Stankovski
Place of PublicationSkopje
PublisherIFAC NMO of Macedonia
ISBN (Print)978-9989-2175-8-6
Publication statusPublished - 2011
MoE publication typeA4 Conference publication


  • Process Monitoring
  • Fault Diagnosis
  • Industrial Application
  • Large Scale Systems


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