Operation Cycle Optimisation of the Larox Pressure Filter

Autor: S-L. Jämsä-Jounela, Kari Koskela, Mikko Vermasvuori, Jerri Kämpe

Publikováno v: IFAC Proceedings Volumes. 37:55-60

Artificial intelligence methods such as expert systems, fuzzy systems, neural networks and combinations of these, have become invaluable tools in helping operators to monitor and control processes. These methods can also be used to run processes in a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::43ee03666731d2aaf29405d511700915
https://doi.org/10.1016/s1474-6670(17)32343-1

A process monitoring system based on the Kohonen self-organizing maps

Autor: Mikko Vermasvuori, Petri Endén, Sasa Haavisto, Sirkka-Liisa Jämsä-Jounela

Publikováno v: Control Engineering Practice. 11:83-92

Process monitoring and fault diagnosis have been studied widely in recent years, and the number of industrial applications with encouraging results has grown rapidly. In the case of complex processes a computer-aided monitoring enhances operators pos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5eff7e0a167af35e859e985a227b305
https://doi.org/10.1016/s0967-0661(02)00141-7

Fault Diagnosis System for the Outokumpu Flash Smelting Process

Autor: E. Vapaavuori, Mikko Vermasvuori, Sirkka-Liisa Jämsä-Jounela, M. Grönbärj, T. Salmi

Publikováno v: IFAC Proceedings Volumes. 32:7028-7033

Process monitoring and fault diagnosis have been studied widely in recent years, and the number of industrial applications with encouraging results has grown rapidly. Early detection and localisation of undesired process states and equipment failures

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a11877697dc1f8fcd6e0b0be9cf17e13
https://doi.org/10.1016/s1474-6670(17)57199-2

FTC based on data driven FDI for a dearomatisation process

Autor: T. Liikala, M. Sourander, D. Sauter, Sirkka-Liisa Jämsä-Jounela, Mikko Vermasvuori

Publikováno v: 16th Mediterranean Conference on Control and Automation, MED'08
IEEE. 16th Mediterranean Conference on Control and Automation, MED'08, Jun 2008, Ajaccio, France. pp.71-76, 2008, 〈10.1109/MED.2008.4602278〉
16th Mediterranean Conference on Control and Automation, MED'08, Jun 2008, Ajaccio, France. pp.71-76, ⟨10.1109/MED.2008.4602278⟩

International audience; In this paper, a fault tolerant control (FTC) system based on data driven fault detection (FDI) is presented. The behaviour of the system with proactive and reactive FTC strategies is studied in the presence of faults in an on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9449ae625a51316620dbd12ac8e67f33
https://hal.archives-ouvertes.fr/hal-00349021

An intelligent, integrated control system for a pressure filter

Autor: Mikko Vermasvuori, Petri Endén, Sirkka-Liisa Jämsä-Jounela, Jerri Kämpe, A. Kesti, Timo Ryynänen

Publikováno v: Proceedings First International IEEE Symposium Intelligent Systems.

Artificial intelligence methods like expert systems and self-organizing maps have proved to be excellent tools for the control of mineral processes. This technology is currently being embedded directly into process equipment like flotation cells and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f2847f25635ec8efc06b158bbab52d50
https://doi.org/10.1109/is.2002.1042582