THERMAL SCIENCE

International Scientific Journal

Authors of this Paper

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Xiao Xiao

,

Lei Chen

ERROR ANALYSIS SYSTEM OF INDUSTRIAL STEAM HEAT FLOW BASED ON NEURAL NETWORK COMPUTER SIMULATION

ABSTRACT
The paper focuses on the analysis of the neural network mathematical model for temperature and pressure compensation in steam flow measurement, summarizes two types of compensation models suitable for DCS configuration, and introduces the realization of steam flow measurement in ABB Industrial TDCS configuration ways and methods of temperature and pressure compensation. At the same time, the paper uses the scientific neural network intelligent model control method to analyze, optimize, configure and manage the information, improve the operation and management level of the steam system, and realize the optimized operation of the steam system, so as to achieve the purpose of energy saving and consumption reduction.
KEYWORDS
industrial steam, temperature and pressure compensation, heat flow, neural network model, DCS configuration, error analysis
PAPER SUBMITTED: 2020-12-18
PAPER REVISED: 2020-01-21
PAPER ACCEPTED: 2021-02-08
PUBLISHED ONLINE: 2021-07-31
DOI REFERENCE: https://doi.org/10.2298/TSCI2104149X
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2021, VOLUME 25, ISSUE Issue 4, PAGES [3149 - 3158]
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Error analysis system of industrial steam heat flow based on neural network computer simulation

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence