A TOOLBOX FOR ON-LINE PROCESS MONITORING WITH SOME INDUSTRIAL APPLICATIONS

Autor:	P. Endén S. Haavisto, S-L. Jämsä-Jounela, Mikko Vermasvuori
Rok vydání:	2002
Předmět:	Self-organizing map Artificial neural network Process (engineering) Heuristic (computer science) Computer science Stability (learning theory) Rule-based system Control engineering General Medicine computer.software_genre Fault detection and isolation Toolbox Data mining computer
Zdroj:	IFAC Proceedings Volumes. 35:419-424
ISSN:	1474-6670
DOI:	10.3182/20020721-6-es-1901.00801
Popis:	On-line process monitoring with fault detection can provide stability and efficiency for a wide range of processes. A toolbox for on-line monitoring using Kohonen self-organizing maps (SOM), in conjunction with heuristic rules is described in this paper. Four different industrial applications using the toolbox are presented and discussed at the end of the paper.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0b7e365a2ece5e6269a73dacbfc9deb5 https://doi.org/10.3182/20020721-6-es-1901.00801 Zobrazit plný text záznamu