Hybrid process models for process optimisation, monitoring and control

2004 ◽  
Vol 26 (6) ◽  
pp. 393-400 ◽  
Author(s):  
V. Galvanauskas ◽  
R. Simutis ◽  
A. L�bbert
2006 ◽  
Author(s):  
F.P. Iversen ◽  
E. Cayeux ◽  
E. W. Dvergsnes ◽  
J.E. Gravdal ◽  
E. H. Vefring ◽  
...  

1992 ◽  
Vol 269 ◽  
Author(s):  
Valerie Adegbite ◽  
Martin Hawley ◽  
Dave Decker ◽  
Jon Sticklen

ABSTRACTMicrowave curing of composite materials is a novel technology which can be an alternative to conventional thermal curing and has many advantages over thermal curing, i.e, fast and direct heating, selective heating, and controllability. Currently, the existing technology is more empirical and cannot be easily described by traditional process models. One key enabling step for realizing the advantages of the microwave curing technology is a capability for utilizing all the available existing knowledge in a concise manner. The major elements of a control system which utilizes traditional control techniques and (non-traditional) expert systems techniques in a real time microwave cure monitoring and control is discussed.


2013 ◽  
Vol 762 ◽  
pp. 301-306
Author(s):  
Satu Tamminen ◽  
Henna Tiensuu ◽  
Ilmari Juutilainen ◽  
Juha Röning

High quality and low variability in the properties of the products are the main goals in manufacturing. The quality of the product is verified by testing different properties. It can be improved with models developed for event prediction. This paper presents with application examples the modelling steps required for effective process modelling. First, the pre-processing and feature extraction phase are illustrated. The modelling phase concentrates especially on the heteroscedasticity problem that is commonly present in industrial applications. The process monitoring and control parameter optimization based on these models is presented, as well as the solution for the lack of observations for the dependent variable. Many of the developed models are in daily use in different process states in steel industry. They enable the design of new products and the analysis of the effects of different process parameters on variability reduction. The proposed methods are application independent.


10.2118/99207 ◽  
2006 ◽  
Author(s):  
F. Iversen ◽  
E. Cayeux ◽  
E. Dvergsnes ◽  
J. Gravdal ◽  
E. Vefring ◽  
...  

Author(s):  
David C. Joy

Personal computers (PCs) are a powerful resource in the EM Laboratory, both as a means of automating the monitoring and control of microscopes, and as a tool for quantifying the interpretation of data. Not only is a PC more versatile than a piece of dedicated data logging equipment, but it is also substantially cheaper. In this tutorial the practical principles of using a PC for these types of activities will be discussed.The PC can form the basis of a system to measure, display, record and store the many parameters which characterize the operational conditions of the EM. In this mode it is operating as a data logger. The necessary first step is to find a suitable source from which to measure each of the items of interest. It is usually possible to do this without having to make permanent corrections or modifications to the EM.


2016 ◽  
Author(s):  
Giacomo Giannoccaro ◽  
Armando Ursitti ◽  
Maurizio Prosperi

2020 ◽  
pp. 4-10
Author(s):  
VLADIMIR V. KIRSANOV ◽  
◽  
DMITRIY YU. PAVKIN ◽  
FEDOR E. FEDOR E. VLADIMIROV ◽  
EVGENIY А. NIKITIN ◽  
...  

A modern dairy farm is a complex biotechnical “man-machine-animal” system, where purposeful human activity concentrates mainly on the control of the “machine” and “animal” subsystems, thus making the whole system ergatic. Increasing the interaction effi ciency of machine subsystems with biological objects (animals) requires an in-depth study of the properties and characteristics of the latter, their behavior, adaptive and refl ex mechanisms that ensure the mutual adaptation of machine and biological subsystems. The paper considers general functionality of the “animal” subsystem, which includes lists of monitored parameters (functions) in pre-weaning, pre-lactation and lactation periods. In a similar way, functionals of the subsystems of the general musculoskeletal development of the animal’s body, respiratory and digestive organs, comfort of the habitat, development and control of the reproductive organs of lactating cows were obtained accompanied with a list of controlled functions and parameters. To carry out a set of research activities in this fi eld, FSAC VIM is planning to carry out a complex project that will increase the levels of automation, digitalization and intellectualization of animal husbandry, provide for comfortable environment, optimal rediced-impact service modes for animals and their extended productive longevity, increased quality of milk and autonomous functioning of individual local biotechnical subsystems.


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