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Analysis of a Dataset for Modeling a Transport Conveyor

Author

Listed:
  • Pihnastyi, Oleh
  • Burduk, Anna

Abstract

The analysis of the works, which considered the use of neural networks for modeling a multi-section transport conveyor, was carried out. The prospects for the use of neural networks for the design of highly efficient control systems for the flow parameters of a multi-section transport conveyor are studied. The problem that limits the use of neural networks for building control systems for the flow parameters of a multi-section transport conveyor is considered. The possibility of constructing generators for generating a data set for the process of training a neural network is being studied. A method for generating a data set based on experimentally obtained measurements of the instantaneous values of the input material flow as a result of the operation of industrial transport systems is proposed. Using dimensionless variables, a statistical analysis of a stochastic flow of material entering the input of the transport system was performed. An estimate of the correlation time of a stochastic process characterizing the input flow of material is given. The recommendations on choosing the type of correlation function for the model of the input material flow were confirmed. It is demonstrated that the input flow of material is a non-stationary stochastic process. Approximations for modeling the input flow of materials of the operating transport system are considered.

Suggested Citation

  • Pihnastyi, Oleh & Burduk, Anna, 2022. "Analysis of a Dataset for Modeling a Transport Conveyor," MPRA Paper 116161, University Library of Munich, Germany, revised 26 Nov 2022.
    • Handle: RePEc:pra:mprapa:116161
    as

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    File URL: https://mpra.ub.uni-muenchen.de/116161/1/MPRA_paper_116161.pdf
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    References listed on IDEAS

    as
    1. Pihnastyi, Oleh & Khodusov, Valery, 2019. "The optimal control problem for output material flow on a conveyor belt with input accumulating bunker," MPRA Paper 95928, University Library of Munich, Germany, revised 07 Jan 2019.
    2. Błażej Doroszuk & Robert Król & Jarosław Wajs, 2021. "Simple Design Solution for Harsh Operating Conditions: Redesign of Conveyor Transfer Station with Reverse Engineering and DEM Simulations," Energies, MDPI, vol. 14(13), pages 1-13, July.
    3. Witold Kawalec & Robert Król, 2021. "Generating of Electric Energy by a Declined Overburden Conveyor in a Continuous Surface Mine," Energies, MDPI, vol. 14(13), pages 1-11, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    transport conveyor; neural network; non-stationary stochastic process; dataset generator;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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