Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jerri Kämpe"'
Publikováno v:
Control Engineering Practice. 13:1327-1337
Strong competition in the process industries is forcing the optimization of process operation at each production level, including the operation of process equipment. Overall optimization of process equipment requires an efficient control strategy bas
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
Publikováno v:
IFAC Proceedings Volumes. 36:245-250
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
Publikováno v:
IFAC Proceedings Volumes. 34:83-88
Fault diagnosis and remote support systems have been studied very intensively in recent years. Increasing availability and minimising the service costs are the main objectives for the remote diagnosis of process equipment A high degree of availabilit
Publikováno v:
IFAC Proceedings Volumes. 33:437-442
Fault diagnosis has been studied very actively during recent years. Increasing availability and minimising service costs are the main objectives for the fault diagnosis of process equipment. A high degree of availability and ease of maintenance and r
Publikováno v:
IFAC Proceedings Volumes. 33:963-969
Process equipment manufacturers are looking for added value for their products by implementing intelligent automation. Fault diagnosis and remote support for process equipment increases safety and reduces maintenance time and repair costs. This paper
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
Publikováno v:
ECC
Scopus-Elsevier
Scopus-Elsevier
Advanced fault detection and diagnosis system for a process equipment can yield economical benefits by minimizing downtime and service costs. Using models and heuristic knowledge fault diagnosis can advance beyond the conventional level of detecting