986 resultados para Equip industrial -- Control
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Mode of access: Internet.
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"June 1985."
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ASTIA document no. AD 110582.
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"Parts II and III available only from the National Archives and Records Service, Washington 25, D.C."
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Mode of access: Internet.
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Mode of access: Internet.
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At head of title: Before the United States Anthracite Coal Commission.
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1939.--pt.30. Technology and concentration of economic power. Apr.8-12, 15-19, 22-26, 1940.--31. Investments, profits, and rates of return for selected industries.
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Mode of access: Internet.
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By Dewey Anderson, executive secretary.
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"Commonwealth of Pennsylvania Department of Health. Industrial fellowship no. 326B-6."
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Bibliography: leaves 41-43.
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Thesis (Ph.D.)--University of Washington, 2016-06
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This paper addresses advanced control of a biological nutrient removal (BNR) activated sludge process. Based on a previously validated distributed parameter model of the BNR activated sludge process, we present robust multivariable controller designs for the process, involving loop shaping of plant model, robust stability and performance analyses. Results from three design case studies showed that a multivariable controller with stability margins of 0.163, 0.492 and 1.062 measured by the normalised coprime factor, multiplicative and additive uncertainties respectively give the best results for meeting performance robustness specifications. The controller robustly stabilises effluent nutrients in the presence of uncertainties with the behaviour of phosphorus accumulating organisms as well as to effectively attenuate major disturbances introduced as step changes. This study also shows that, performance of the multivariable robust controller is superior to multi-loops SISO PI controllers for regulating the BNR activated sludge process in terms of robust stability and performance and controlling the process using inlet feed flowrate is infeasible. (C) 2003 Elsevier Ltd. All rights reserved.
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Modelling of froth transportation, as part of modelling of froth recovery, provides a scale-up procedure for flotation cell design. It can also assist in improving control of flotation operation. Mathematical models of froth velocity on the surface and froth residence time distribution in a cylindrical tank flotation cell are proposed, based on mass balance principle of the air entering the froth. The models take into account factors such as cell size, concentrate launder configuration, use of a froth crowder, cell operating conditions including froth height and air rate, and bubble bursting on the surface. (C) 2004 Elsevier Ltd. All rights reserved.