Knowledge-based Modeling for Predicting Cane Sugar Crystallization State
نویسندگان
چکیده
This paper proposes a knowledge-based model applied to an experimental scale evaporative cane sugar crystallization process, which combines the methods of offline and online knowledge acquisition. Firstly, a data mining method based on rough set theory is utilized to extract information from the large quantity of relevant data obtained in experiment. This method products an offline predictive knowledge. Thereafter, a method for online knowledge learning and self-improvement is put forward, based on support vector machine with particle swarm optimization, to improve the predictive accuracy and generalization capacity. Furthermore, the intelligent system is tested using a selfregulating intelligent comprehensive monitoring and controlling platform that represents the cane sugar process. Results demonstrate the feasibility of the system for predicting the crystallization state in a real cane sugar process.
منابع مشابه
Design and Implementation of Intelligent Integrated Measuring and Controlling System for Sugar Cane Crystallization Process
The deficiency in existing sugar cane crystallization automatic control system is difficult to measure some key parameters on line, such as mother liquor supersaturation, mother liquor purity, crystal content and crystal size distribution. Controlling brix with PID can only reflect the massecuite concentration of sugar cane crystallization process, but it is hard to guarantee the crystal qualit...
متن کاملMathematical modeling and fuzzy availability analysis for serial processes in the crystallization system of a sugar plant
The binary states, i.e., success or failed state assumptions used in conventional reliability are inappropriate for reliability analysis of complex industrial systems due to lack of sufficient probabilistic information. For large complex systems, the uncertainty of each individual parameter enhances the uncertainty of the system reliability. In this paper, the concept of fuzzy reliability...
متن کاملAn Improved Multi-objective Evolutionary Optimization Algorithm for Sugar Cane Crystallization
The nature of optimization for intermittent sugar cane crystallization process is to obtain ideal crystals. One typical difficulty in crystallization optimization refers to the simultaneous effects of both seeding characters and process variables on the final crystal size distribution (CSD) parameters, including mean size (MA) and coefficient of variation (CV). And the application of traditiona...
متن کاملControl Improvement of a C Sugar Cane Crystallization Using an Auto-Tuning PID Controller Based on Linearization of a Neural Network
The industrial process of the sugar cane crystallization produces a residual that still contains a lot of soluble sucrose and the objective of the factory is to improve its extraction. Therefore, there are substantial losses justifying the search for the optimization of the process. Crystallization process studied on the industrial site is based on the “three massecuites process”. The third ste...
متن کاملResearch of Methods for Extracting Principal Components Responding to Sucrose Supersaturation Based Soft Sensors in Cane Sugar Process
Based on the soft sensor techniques, five external factors that affect the cane sugar crystallization process are used as auxiliary variables, i.e., the syrup Brix and temperature, vacuum, steam pressure and feed flow, while the sucrose supersaturation is considered as the key variable. Then a soft sensor method for the sucrose supersaturation is developed based on kernel partial least squares....
متن کامل