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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liukkonen, M. Hiltunen, Y. Laakso, I. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Environ. Sci., Univ. of Eastern Finland, Kuopio, Finland (Liukkonen, M.; Hiltunen, Y.) || Stora Enso Printing & Reading Paper Ltd., Oulu, Finland (Laakso, I.) |
| Abstract | Industrial processes are ever more challenging to monitor due to their complexity, nonlinear dynamics, and a large number of affecting factors involved. There are several methods able to deal with multidimensionality and which can be utilized in process monitoring systems, but it seems that the monitoring systems used presently by the industry are not completely able to meet the standards of modern production. It seems that a system capable of handling the overflowing amount of measurement data, extract the essential pieces of information, and present them in a visual and easily understandable way could be a definite advantage in the monitoring and diagnosis of industrial processes. In this paper, we demonstrate the use of self-organizing maps (SOM) and existing process data in a new kind of approach to monitor industrial processes, an approach in which the multivariate and dynamical characteristics of the data are taken into account. The system is demonstrated here using measurement data from an industrial wastewater treatment plant. |
| Starting Page | 112 |
| Ending Page | 117 |
| File Size | 232875 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769550732 |
| DOI | 10.1109/EUROSIM.2013.30 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-10 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Industry Activated sludge Self-organizing map Vectors Pollution measurement Trajectory Wastewater Sludge treatment Wastewater treatment Monitoring |
| Content Type | Text |
| Resource Type | Article |
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