Title :
Data Mining Application in Controlling the Pressure of Gas-Collecting Pipe
Author :
Zhigang Li ; Zhongkui Sun ; Rulin Wang
Author_Institution :
Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China
Abstract :
The pressure of gas-collecting pipe is the main technology parameter in the production of coke oven. At present, people have adopted the advanced strategy that combined fuzzy control and expert controlling together in lots of factories. Fuzzy rules are generally created based on experience conclusions. It is in the basic of experience. This paper applies data mining to intelligent control, and it gives a new approach for obtaining fuzzy rules to mine history data. The method based on data has functions as acquiring automatically fuzzy rules, creating and perfecting automatically knowledge base. Simultaneously it doesn´t depend on seriously transcendent knowledge of material object in the period of system design, and it has independence of algorithm when running, and so on.
Keywords :
control engineering computing; data mining; fuzzy control; intelligent control; pipelines; pressure control; data mining; fuzzy rules; gas-collecting pipe; intelligent control; pressure control; Artificial intelligence; Automatic control; Data mining; Databases; Delta modulation; Fuzzy control; Ovens; Pressure control; Production systems; Statistical analysis; K-means; analysis; clustering; data mining; fuzzy rules; the gas-collecting pipe pressure;
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
DOI :
10.1109/CHICC.2006.280608