Modeling the performance of an Electrodynamic screen (EDS) with artificial intelligence techniques

• Autorzy: Houari Toufik Ahmed , Dahou Omar , Djilani Kobibi Youcef Islam , Bouchekara Hocine

Identyfikatory

DOI

10.15199/48.2023.04.22

Warianty tytułu

PL

Modelowanie wydajności ekranu elektrodynamicznego (EDS) za pomocą technik sztucznej inteligencji

• Języki publikacji: EN

Abstrakty

EN

Artificial neural networks by their learning, classification, and decision capabilities, have contributed in the development of several fields. In electrostatics and its applications, neural networks are used to solve the problems of modeling, diagnosis and control of different modes of operation of machines. This work focuses on the application of artificial neural networks for modeling the operation of a three-phase electric field electrodynamic screen for moving micronized polyvinyl chloride (PVC) particles, with an average particle size of 250 μm. The neural network used is a multilayer perceptron type network, trained by the gradient back propagation algorithm. The input vector contains parameters taken from the studied experimental device: applied voltage U [kV], frequency [Hz] and diameter d [mm]. The output vector contains the mass of the product collected at the output of the electrodynamic screen.

PL

Sztuczne sieci neuronowe dzięki swoim zdolnościom uczenia się, klasyfikacji i podejmowania decyzji przyczyniły się do rozwoju kilku dziedzin. W elektrostatyce i jej zastosowaniach sieci neuronowe są wykorzystywane do rozwiązywania problemów modelowania, diagnozowania i sterowania różnymi trybami pracy maszyn. W pracy skupiono się na zastosowaniu sztucznych sieci neuronowych do modelowania działania ekranu elektrodynamicznego trójfazowego pola elektrycznego dla poruszających się cząstek mikronizowanego polichlorku winylu (PVC) o średniej wielkości cząstek 250 μm. Wykorzystywana sieć neuronowa jest wielowarstwową siecią typu perceptron, wytrenowaną przez algorytm wstecznej propagacji gradientu. Wektor wejściowy zawiera parametry zaczerpnięte z badanego urządzenia doświadczalnego: przyłożone napięcie U [kV], częstotliwość [Hz] i średnicę d [mm]. Wektor wyjściowy zawiera masę produktu zebraną na wyjściu ekranu elektrodynamicznego.

Słowa kluczowe

EN

electrodynamic screen; travelling waves; artificial neural networks; modeling

PL

ekran elektrodynamiczny; fale biegnące; sztuczne sieci neuronowe; modelowanie

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2023
• Tom: R. 99, nr 4
• Strony: 128--132
• Opis fizyczny: Bibliogr. 59 poz., rys., tab., wykr.

Twórcy

autor

Houari Toufik Ahmed

• University Mustapha Stambouli of Mascara, Algeria

• https://orcid.org/0000-0003-0494-9056

autor

Dahou Omar

• University Mustapha Stambouli of Mascara, Algeria

• https://orcid.org/0000-0003-1698-9338

autor

Djilani Kobibi Youcef Islam

• University Mustapha Stambouli of Mascara, Algeria

• https://orcid.org/0000-0001-6772-8838

autor

Bouchekara Hocine

• University Mustapha Stambouli of Mascara, Algeria

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).