Focusing on ethylene oxide (EO) hydration reactor industrial equipment, the reaction mechanism model is established. Based on the principle of material balance, energy balance and kinetics of the reactions of ethylene...
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In this work, an industrial acetic acid dehydration system via heterogeneous azeotropic distillation is simulated by Aspen Plus software. Residue curves are used to analyze the distillating behavior, and appropriate o...
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In this work, an industrial acetic acid dehydration system via heterogeneous azeotropic distillation is simulated by Aspen Plus software. Residue curves are used to analyze the distillating behavior, and appropriate operating region of the system is determined. Based on steady states simulation, a sensitivity analysis is carried out to detect the output multiple steady states in the system. Different solution branches are observered when the flow rates of the feed stream and the organic reflux stream are selected as manipulated variables. The performance of the column under different steady states is different. A method is oroposed to achieve the desired steady state.
Considering that the performance of a genetic algorithm (GA) is affected by many factors and their rela-tionships are complex and hard to be described,a novel fuzzy-based adaptive genetic algorithm (FAGA) combined...
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Considering that the performance of a genetic algorithm (GA) is affected by many factors and their rela-tionships are complex and hard to be described,a novel fuzzy-based adaptive genetic algorithm (FAGA) combined a new artificial immune system with fuzzy system theory is proposed due to the fact fuzzy theory can describe high complex *** FAGA,immune theory is used to improve the performance of selection ***,crossover probability and mutation probability are adjusted dynamically by fuzzy inferences,which are developed according to the heuristic fuzzy relationship between algorithm performances and control *** experi-ments show that FAGA can efficiently overcome shortcomings of GA,i.e.,premature and slow,and obtain better results than two typical fuzzy ***,FAGA was used for the parameters estimation of reaction kinetics model and the satisfactory result was obtained.
This paper presented a simple method of detecting the peak of R wave in Electrocardiogram (ECG) signal and computing the Heart Rate Variability (HRV). Features were extracted from the obtained HRV to analyze the vigil...
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For the deficiencies of the basic bee colony algorithm based on the mechanism of nectar (ABC), such as the population diversity scarcity in the early iterations and easily sticking into the local optimum, a strategy w...
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For the deficiencies of the basic bee colony algorithm based on the mechanism of nectar (ABC), such as the population diversity scarcity in the early iterations and easily sticking into the local optimum, a strategy which integrates an improved differential evolution (DE) method into bee colony algorithm (DE-ABC) is proposed. The primary idea of DE-ABC is to introduce DE into the mutation of employed bee instead of random search strategy, and combination of incremental strategy of the crossover probability factor and the scaling factor, strategy of stagnation judgment and treatment. Four benchmark functions are used to make a comparison, and results show that DE-ABC converges with a faster accelerated rate and a higher accuracy optimization. Then DE-ABC is applied to the optimization of p-xylene oxidation process. With the purpose of reducing the exhaust CO, CO2 of the reactor and the first crystallizer, an excellent solution of the operating variables is obtained under the process operating parameters constraints, which gives a guide to the plant operation.
In this paper, the vigilance levels during day time short nap sleep were estimated on the basis of Markov Process Amplitude (MPA) EEG model. The ultimate purpose was to adopt the MPA model to discriminate three levels...
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The day time nap sleep has the significant prophylactic function to our health and working efficiency. In this study, the prediction of sleep level for day time short nap was investigated. The ultimate purpose was to ...
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Automatic EEG spike detection provide valuable information for diagnosis of epilepsy. In the past 30 years, a number of algorithms were proposed. However, the basic idea of most algorithms is to identify spike activit...
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With the information technology applied widely to process industry, a large amount of historical data which could be used for obtaining the prior probabilities of gross error occurrence is stored in database. To use t...
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With the information technology applied widely to process industry, a large amount of historical data which could be used for obtaining the prior probabilities of gross error occurrence is stored in database. To use the historical data to enhance the efficiency of gross error detection and data reconciliation, a new strategy which includes two steps is proposed. The first step is that mixed integer program technique is incorporated to use the prior information to detect gross errors. The second step is to estimate all detected gross errors and adjust process data with material, energy, and other balance constrains. In this step an improved method is proposed to achieve the same effect with traditional method through adjusting the covariance matrix. Novel prior information criteria are described and performance of this new strategy is compared and discussed by applying the strategy for a challenging test problem.
An evolutionary algorithm based on the parallel evolution of multiple single objective populations and Pareto archive population is proposed, which is not only suitable for solving multi-objective optimization, but al...
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