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A purification process is to remove impurities through a series of reactors with additives. The theoretical calculated amount of additive does not fulfill actual requirements due to variations in the reaction environment. An additive requirement ratio is thus defined to measure the disparity between theoretical calculation and actual requirements. Considering the influence of the process underlying...
Case feature weights are the keys to affecting the retrieving in case-base reasoning. To solve the problems of the existing algorithms such as poor objectivity and high complexity, a method based on coverage for determining the case feature weights is proposed, which calculates the case feature weights by the affecting of each attribute to the case average coverage. This algorithm has been applied...
An intelligent prediction modeling approach integrating case based reasoning (CBR) with adaptive particle swarm optimization (PSO) is proposed for the permeability index prediction of smelting process in the imperial smelting furnace (ISF), to deal with the difficulties in describing the process with accurate mathematical models and information uncertainty. The case base is constructed directly from...
Aimed at the low quality of the product and low recovery rate of coke calcinations in rotary kiln, an intelligent optimization operations system for coke calcinations rotary kiln is presented to stabilize the temperature in calcination zone in this paper. The key operation parameters in rotary kiln are optimized using improved case-based reasoning (CBR). The case searching and matching adopted the...
Petroleum coke is usually calcined in rotary kiln. It is a very prevalent problem of unstable production conditions and low recovery rates in coke calcination process. The temperature field in calcining zone is a crucial factor that affects the output and quality of calcined petroleum coke (CPC). Based on the analysis of the major factors affecting the temperature field in above zone, an intelligent...
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