Моделювання стаціонарного стохастичного вхідного потоку розгалужених конвеєрних систем

The object of research is stochastic stationary input material flow of a conveyor-type transport system. Subject of research is a method for generating realizations of a stationary stochastic input flow of material on the basis of experimental data. The goal of the research consists in the development of a random value generator for constructing an implementation of the input material flow of a transport conveyor, which has specified statistical characteristics, calculated on the basis of the previously performed experimental measurements results. The results obtained. The stationary stochastic input flow of material is represented by a canonical expansion as a sum of harmonic oscillations with random amplitudes at various non-random frequencies. A two-stage approach is proposed for forming realizations of the input material flow. At the first stage, using the canonical expansion in given coordinate functions, the experimental realization of the input material flow for a given interval is approximated. At the second stage, statistical characteristics of the implementations of the input material flow are calculated. The conducted analysis showed that the application of the smoothing method for the realizations of the material flow, based on the canonical decomposition of the realizations of the input material flow, ensures a sufficiently accurate reproduction of the statistical characteristics like a flow, which is important when designing effective systems for managing the flow parameters of a transport system. A comparative analysis of correlation functions for experimental, approximated and generated implementations of the input material flow is figured out. The length of the time interval required to carry out experimental changes in the input material flow is justified. Conclusion. The methods of generating input flows based on experimental data proposed in the paper allow increasing the accuracy of modeling and control of conveyor systems, which in the long term can lead to a decrease in operating costs and an increase in the productivity of conveyor-type transport systems.

Institutions

Publication Details

Journal
Scientific periodicals of Ukraine
Published
2025-04-30
Primary Topic
Belt Conveyor Systems Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Моделювання стаціонарного стохастичного вхідного потоку розгалужених конвеєрних систем

Scientific periodicals of Ukraine
Belt Conveyor Systems Engineering
article

Моделювання стаціонарного стохастичного вхідного потоку розгалужених конвеєрних систем

article en

Abstract

The object of research is stochastic stationary input material flow of a conveyor-type transport system. Subject of research is a method for generating realizations of a stationary stochastic input flow of material on the basis of experimental data. The goal of the research consists in the development of a random value generator for constructing an implementation of the input material flow of a transport conveyor, which has specified statistical characteristics, calculated on the basis of the previously performed experimental measurements results. The results obtained. The stationary stochastic input flow of material is represented by a canonical expansion as a sum of harmonic oscillations with random amplitudes at various non-random frequencies. A two-stage approach is proposed for forming realizations of the input material flow. At the first stage, using the canonical expansion in given coordinate functions, the experimental realization of the input material flow for a given interval is approximated. At the second stage, statistical characteristics of the implementations of the input material flow are calculated. The conducted analysis showed that the application of the smoothing method for the realizations of the material flow, based on the canonical decomposition of the realizations of the input material flow, ensures a sufficiently accurate reproduction of the statistical characteristics like a flow, which is important when designing effective systems for managing the flow parameters of a transport system. A comparative analysis of correlation functions for experimental, approximated and generated implementations of the input material flow is figured out. The length of the time interval required to carry out experimental changes in the input material flow is justified. Conclusion. The methods of generating input flows based on experimental data proposed in the paper allow increasing the accuracy of modeling and control of conveyor systems, which in the long term can lead to a decrease in operating costs and an increase in the productivity of conveyor-type transport systems.

Scientific periodicals of Ukraine
Wrocław University of Science and Technology (PL), National Technical University "Kharkiv Polytechnic Institute" (UA)
Decent work and economic growth
Openalex Percentile: Top 53%
Belt Conveyor Systems Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.