Кафедра "Інтернет речей"

Результати пошуку

Зараз показуємо 1 - 3 з 3

Analysis of dynamic mechanic belt stresses of the magistral conveyor
(2020) Pihnastyi, O. M.; Khodusov, Valery; Kozhevnikov, G. K.; Bondarenko, Tetiana
Controlling the amount of material flow coming from the input accumulate bunker to the input of the conveyor line and controlling the speed of the conveyor belt are common ways to reduce the energy consumption of the transport system. However, most works do not take into account transients associated with a change in the speed of the conveyor belt or a change in the input material flow. As a result of transient processes, acceleration or deceleration of the conveyor belt occurs, and as a result, dynamic stresses arise in the conveyor belt, which can exceed the permissible values. This article examines the dynamic stresses that occur during transient modes. When constructing a model of dynamic stresses, Hooke's law was used. The model of resistance to movement of the conveyor belt is adopted in accordance with DIN 22101: 2002-08. The analysis of the propagation of waves of dynamic stresses in the conveyor belt has been done. The formation of dynamic stresses as a result of the addition of the forward and backward waves is considered.
An Analytical Method for Generating a Data Set for a Neural Model of a Conveyor Line
(Institute of Electrical and Electronics Engineers, Inc., USA, 2020) Pihnastyi, O. M.; Kozhevnikov, G. K.; Bondarenko, Tetiana
Models using neural networks are a rather promising class of models for designing highly efficient control systems for a dynamic distributed transport system of the conveyor type. An important problem in constructing a model of a conveyor-type transport multi-section system is the formation of a data set for training a neural network. This study discusses a method for generating data for training a neural network based on an analytical model of a conveyor-type transport system. A detailed analysis of the most common models of the transport conveyor is performed and the choice of an analytical model for the formation of a training data set is theoretically justified. An algorithm for calculating the flow parameters of individual sections of the transport system is proposed. An estimation of the transition period is given. Graphical representation of a data set for training a neural network using an analytical model of a transport system is demonstrated.
The information controlling model transport system during transient conditions
(Institute of Electrical and Electronics Engineers, Inc., USA, 2019) Pihnastyi, O. M.; Kozhevnikov, G. K.; Bondarenko, Tetiana
This article is devoted to designing an information management system for the conveyor line of mining enterprises. The analytical design method for the transient mode of the stepped speed control system of the conveyor line was developed. The partial differential equation was used in constructing the conveyor line model. The description of the production system is fulfilled in the single step approximation. A decision was obtained which determines the state of the parameters of the production line for a technological position specified as a function of time. Has been determined the length of the transition period during which the initial condition for the distribution of labour objects along the conveyor affects the parameters of the state of the conveyor line. The method for calculating the current parameters of a conveyor line with the use of partial differential equations allows the design of control systems for production lines of conveyor type for transient modes. The originality of the results obtained is to improve the PDE-models of the conveyor-type production systems used to design highly efficient production control systems operating in transient modes.

Кафедра "Інтернет речей"

Переглянути

Фільтри

Налаштування

Сортувати за

Результатів на сторінку

Результати пошуку