Temperature field control method based on neural network

Кочан, Орест; Sapojnyk, Hryhoriy; Кочан, Роман

doi:10.1109/idaacs.2013.6662632

Cited by 23 publications

(8 citation statements)

References 3 publications

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“…However, the implementation of such a TCTF requires fundamental theoretical and experimental studies because there are several key problems in the TCTF such as: (i) control of temperature field; (ii) the error of method caused by the heat flux from the heaters to the measuring junction of the MTC; (iii) influence of the changes in an external temperature field on the temperature distribution along the legs of the MTC created by the heaters. Methods to control the temperature field were proposed in [31], [32] (to solve the problem mentioned in point (i) from the previous sentence. The error of method was considered in [33] (the key problem (ii) from the list above).…”

Section: Methods Of Reducing Error Due To Acquired Inhomogeneitymentioning

confidence: 99%

Information-measuring System to Study the Thermocouple with Controlled Temperature Field

Wang

Кочан

Przystupa

et al. 2019

Measurement Science Review

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Error due to inhomogeneity is the main problem of thermocouples (TCs), e.g., during the operation of a type K TC, this error can reach 11-30 °C. Thus, metrological reliability of TCs is threatened by this error because there is a high risk of exceeding the permissible error when the temperature distribution along the TC legs changes. Such a large error, in turn, can threaten a proper operation or even safety of a measured object. A TC with controlled temperature field was proposed to cope with this error. An information-measuring system to perform proper measurements, measurement data acquisition and collection to construct mathematical models is proposed. Its property is high diurnal stability of ±(0.0025+0,002(X/XMAX–1) %. The requirements for the information-measuring system and its structure are considered in this paper. In particular, one of the key problems of such a sensor is how stable is its own temperature field under the influence of the temperature field of a measured object. The experimental studies were carried out using the developed system. They showed that the coefficient of penetration of the temperature field of the measured object is about 0.04. This allows decreasing error due to inhomogeneity by about 10-20 times.

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Section: Methods Of Reducing Error Due To Acquired Inhomogeneitymentioning

confidence: 99%

Information-measuring System to Study the Thermocouple with Controlled Temperature Field

Wang

Кочан

Przystupa

et al. 2019

Measurement Science Review

Self Cite

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“…One of the effective approaches to AI implementation in intellectual electronic services management is application of modern methods-fuzzy logic and neural networks [12][13][14]. The most important advantage of neural networks is the possibility of their learning and adaptation, as well as the fact that full knowledge about the object of control (for example, its mathematical model) is not required.…”

Section: Qoe Achieved By Customersmentioning

confidence: 99%

Customer-Oriented Quality of Service Management Method for the Future Intent-Based Networking

et al. 2020

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The rapid development and spread of communication technologies is now becoming a global information revolution. Customers have a need for communication services, which could be flexibly configured in accordance with their Quality of Experience (QoE) requirements. Realizing the close connection between customer experience and profitability, the service provider has been placing more and more attention on customer experience and QoE. The traditional quality of service management method based on SLA (Service Level Agreement) is not sufficient as a means to provide QoE-related contracts between service providers and customers. The current SLA method is mostly limited and focused on technical aspects of QoS (Quality of Service). Furthermore, they do not follow on the network the principles and semantic approach to the QoS specification for a communication service using QoE parameters. In this paper, we propose a customer-oriented quality of service management method for future IBN (Intent-Based Networking). It is based on a new QoE metric on a scale from 1 to 5, which allows one to take into account the commercial value of e-services for customers. Based on this approach, the network configuration and functionality of network equipment automatically changes depending on customer requirements. To implement the new method of service quality management, an algorithm for routing data packets in the network was developed, taking into account the current load of the forecast path. The algorithm of billing system functioning in conditions of customer-oriented quality management in telecommunication networks has been created. To investigate the effectiveness of the proposed method of service quality management with the traditional SLA method, we developed a simulation network model with the implementation of two approaches. By conducting a simulation, it was determined that the proposed method gives an average gain of 2–5 times for the criterion of the number of customers who require high quality of experience of the service.

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“…However, work on temperature control is currently focused on monitoring not only temperature profiles but also their two-dimensional distributions [15][16][17][18], notably using thermal imaging cameras [19][20][21][22]. To control the temperature profile, it is possible to use both classic control methods [23][24][25], methods based on artificial intelligence, e.g., Fuzzy Logic [26] or Neural Networks [27], and methods dedicated to specific applications [28,29]. The classical PIDtype method of control is used to control dryness [30].…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient, Highly Precise Cascade Dryness Control for Fibrous Tape by Induction-Based Surface Heating of a Rotating Steel Cylinder with Moving Inductors

2021

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Drying various materials constitutes an essential component of several industrial processes, e.g., paper production. Typically, rotating cylinders heated internally by water steam are used for drying tape-shaped material in paper-making machines. Such an approach remains very energy-consuming, while the whole process is expensive and in conflict with the global policy of reducing energy consumption in heavy industry. One promising alternative method of drying fibrous tapes is the induction heating of drying cylinders. In this paper, we propose a drying system based on a set of inductors (electromagnetic field sources) that generate energy in the mantle of the cylinder and dry the running tape. By enabling the movement of the inductors, the system provides a high level of flexibility in terms of reacting to the varying humidity of the tape. Additionally, imaging the temperature field on the cylinder surface provides a supplementary source of information, enabling the temperature profile to be controlled. Two types of humidity control systems, a one-loop feedback control and a cascade control, were designed and analyzed. Simulation analysis and experimental verification performed using a semi-industrial setup proves that using the proposed cascade control ensures more than 30% faster response of the whole dryness control system.

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Temperature field control method based on neural network

Abstract: The neural networks' method for temperature control of the thermocouple based sensor with controlled profile of temperature field (TBS with CPTP) is considered in this paper.

Cited by 23 publications

References 3 publications

Information-measuring System to Study the Thermocouple with Controlled Temperature Field

Information-measuring System to Study the Thermocouple with Controlled Temperature Field

Customer-Oriented Quality of Service Management Method for the Future Intent-Based Networking

Energy Efficient, Highly Precise Cascade Dryness Control for Fibrous Tape by Induction-Based Surface Heating of a Rotating Steel Cylinder with Moving Inductors

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