Fuzzy model of the computer integrated decision support and management system in mineral processing

Miljanović, Igor; Vujić, S.

doi:10.2298/yjor0802253m

Cited by 2 publications

(2 citation statements)

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“…Regardless of the fact that coal cleaning processes are slow (variations are not happening in seconds or milliseconds), the assumption on temporal invariability of descriptive coefficients is not in agreement with real developments. The general conclusion on the outcome of deterministic mathematical-modeling approaches application is that they did not produced expected results (Miljanović, 2008a).…”

Section: Introductionmentioning

confidence: 98%

Fuzzy Model of Autogenous Suspension Coal Cleaning / Model Rozmyty Procesu Wzbogacania Węgla W Zawiesinie Autogenicznej

Benović¹,

Miljanović²,

Vujić³

2012

Archives of Mining Sciences

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The paper presents one of the possible approaches to fuzzy logic modeling of coal cleaning in autogenous suspension. In the scope of reviewing the problem in general, the process algorithm and the structural model of coal cleaning were set up. The paper deals with the flow of fuzzy logic model creation following the example of coal cleaning plant of the "Bogutovo selo" open pit mine of the Mine and Thermal Power Plant Ugljevik. The model is set up on the MATLAB software platform. Fuzzy model testing results, presented at the end of paper confirms applicability and reliability of the model. The discrepancies between the model and the real process parameters are within the limits of allowed industrial error.Keywords: fuzzy logic, modeling, coal cleaning, autogenous suspension, Parnaby, Ugljevik W pracy przedstawiono jedną z dostępnych metod modelowania rozmytego zastosowaną do modelowania procesu wzbogacania węgla w zawiesinie autogenicznej. Analiza problemu obejmuje przedstawienie algorytmu procesu wzbogacania oraz jego model strukturalny. W pracy przedstawiono proces tworzenia modelu rozmytego na przykładzie zakładu wzbogacania 'Bogutovo selo' przy kopalni odkrywkowej bę-dącej częścią zakładów górniczych i elektrowni Ugljevik. Model stworzono przy wykorzystaniu platformy MATLAB. Wyniki testowania modelu rozmytego zaprezentowane w artykule potwierdzają przydatność i wiarygodność modelu. Rozbieżności pomiędzy wynikami modelowania a parametrami rzeczywistych procesów mieszczą się w dopuszczalnych przy procesach przemysłowych granicach tolerancji błędu.

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Section: Introductionmentioning

confidence: 98%

Fuzzy Model of Autogenous Suspension Coal Cleaning / Model Rozmyty Procesu Wzbogacania Węgla W Zawiesinie Autogenicznej

Benović¹,

Miljanović²,

Vujić³

2012

Archives of Mining Sciences

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“…The proposed symbolism can be very helpful in many applications, including writing computer programs, and algorithms (e.g., Sahai, 1992;Szekely and Trapaga, 1994;Ashby, 1996;Ketata and Rockwell, 2008;Miljanovic and Vujic, 2008), allowing fast communication, indicating existence of other option to be considered.…”

Section: Introductionmentioning

confidence: 99%

A Proposition of Symbolism of Non-Ideal Separations Followed by Analytical Procedures for Description of Separation Processes

Kowalczuk

Drzymala

2011

Mineral Processing and Extractive Metallurgy Review

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A notation system is proposed to characterize separation systems. Four elements were taken into account: quantity and quality of separation products, component type in the products and feed, as well as the value of feature utilized for separation. The proposed symbolism consists of two parts. The first part describes separation procedure while the second one describes the way separation results are analyzed and presented. For instance, symbol 3[F n,5 P i,2 XejjUP(Re FPjXek jRc FPj ) (j ¼ 1...5, k¼Cu) V 4 ]2 indicates that three identical feeds (F) were separated twice (2) non-ideally (n) into five (j ¼ 1.5) products (P), which were further separated ideally (i) into two (k ¼ 1 . . . 2) chemical components (Xe) (for instance, Cu and remaining elements). The results of separation were analyzed as cumulative recovery Re of Cu in products versus cumulative yield Rc of products at four levels of operational variables (V 4 ). It also means that each sample was investigated six times for reproducibility. The analysis was based on comparing yield (quantity parameter) and recovery (quality parameter), and was named upgrading (UP). Other parameters that can be considered are component type and value of feature used for separation, and all four provide six ways of analyzing separation systems named classification, sorting, splitting, distribution, and description. The proposed system in this paper is symbolic representation of separation procedure and the way of evaluation separation results is based on an easy-to-write sequence of signs helping a quick and precise understanding of the considered separation system. The proposed symbolism can be useful in applications such as computer programs and algorithms, fast communication, and education on existence of other options of separation delineation.

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Fuzzy model of the computer integrated decision support and management system in mineral processing

Cited by 2 publications

References 5 publications

Fuzzy Model of Autogenous Suspension Coal Cleaning / Model Rozmyty Procesu Wzbogacania Węgla W Zawiesinie Autogenicznej

Fuzzy Model of Autogenous Suspension Coal Cleaning / Model Rozmyty Procesu Wzbogacania Węgla W Zawiesinie Autogenicznej

A Proposition of Symbolism of Non-Ideal Separations Followed by Analytical Procedures for Description of Separation Processes

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