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.
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 | Macedonian NMO of IFAC |
| Pages | 201-206 |
| ISBN (Print) | 978-9989-2175-8-6 |
| Publication status | Published - 2011 |
| MoE publication type | A4 Article in a conference publication |
Keywords
- Process Monitoring
- Fault Diagnosis
- Industrial Application
- Large Scale Systems