Coupled fuzzy logic and experimental design application for simulation of a coal classifier in an industrial environment

• Autorzy: Khoshdast Hamid , Soflaeian Ali , Shojaei Vahideh

Identyfikatory

DOI

10.5277/ppmp18161

• Języki publikacji: EN

Abstrakty

EN

Design of experiments (DOE) is an effective method providing useful information about the interaction of operating variables and the way the total system works by using statistical analyses. However, its industrial application is limited because it is almost difficult to maintain variables in DOE matrix at desired constant levels in industrial environment. Thus, this paper aims to present a new mixed modeling method which is a combination of fuzzy logic and design of experiments methods to overcome such practical limitations. The method first uses a fuzzy model which is trained by practical data gathered from industry to predict DOE response corresponding to each run in DOE matrix. Then, a statistical parametric model is constructed for the prediction of process response to any change of operating parameters under real industrial conditions. The proposed mixed method was successfully validated by using data obtained from a coal hydraulic classifier at Zarand Coal Washing Plant (Kerman, Iran). The method also seems to be a promising tool for modeling all devices and processes in real industrial environment and allows researchers to benefit from all the advantages of experimental design and fuzzy logic methods simultaneously.

Słowa kluczowe

EN

combined modeling; fuzzy logic; experimental design; coal classifier; industry

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Physicochemical Problems of Mineral Processing
• Rocznik: 2019
• Tom: Vol. 55, iss. 2
• Strony: 504--515
• Opis fizyczny: Bibliogr. 27 poz., rys., tab.

Twórcy

autor

Khoshdast Hamid

• Department of Mining Engineering, Higher Education Complex of Zarand, Zarand, Iran

autor

Soflaeian Ali

• Department of Mining Engineering, Higher Education Complex of Zarand, Zarand, Iran

autor

Shojaei Vahideh

• Department of Mining Engineering, Higher Education Complex of Zarand, Zarand, Iran

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).