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A novel method for mixture viscosity control based on change detection
Affiliation:1. GSK Global Manufacturing and Supply, Priory St, Ware, SG12 0DJ, UK;2. GSK Research and Development, New Frontiers Science Park, 3rd Avenue, Harlow, CM19 5AW, UK;1. College of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, PR China;2. Engineering Research Center of Modern Preparation Technology of TCM of Ministry of Education, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, PR China;1. Institute for Chemicals and Fuels from Alternative Resources, Western University, 22312 Wonderland Rd. North RR#3, Ilderton, ON N0M 2A0, Canada;2. Syncrude Canada Ltd., Edmonton Research Center, 9421 17th Ave., Edmonton, AB T6N 1H4, Canada
Abstract:The paper presents a novel method for detecting abrupt changes in mixture viscosities. This problem arises in numerous industrial applications and different solutions are suggested in the literature. An approach of using non-linear filtering for detection—an adaptive filter combined with a change detector—is outlined in this paper. As a case study, we present an ash stabilization batch mixing process used to stabilize a blend of ash/dolomite/water. The main problem is here to predict the quantity of water to be added, since the required amount of water varies with the wood ash quality. One adaptive filter and two change detectors are applied to benchmark data and the detectors are evaluated using basic performance measures.
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