Main Steam Temperature Modeling Based on Levenberg-Marquardt Learning Algorithm

被引：4

作者：

Mazalan, N. A. ^{[1
]}

Malek, A. A. ^{[2
]}

Wahid, Mazlan A. ^{[3
]}

Mailah, M. ^{[3
]}

Saat, Aminuddin ^{[3
]}

Sies, Mohsin M. ^{[3
]}

机构：

[1] Fac Mech Engn, Utm Skudai 81310, Johor, Malaysia

[2] Malakoff Corp Berhad, Pontian Johor, Malaysia

[3] Univ Teknol Malaysia, Fac Mech Engn, Dept Thermofluids, High Speed Reacting Flow Lab HiREF, Skudai, Malaysia

来源：

ADVANCES IN THERMOFLUIDS | 2013年 / 388卷

关键词：

Main Steam Temperature; Neural Network; Levenberg-Marquardt Learning Algorithm; THERMAL POWER-PLANTS;

D O I：

10.4028/www.scientific.net/AMM.388.307

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Main steam temperature is one of the most important parameters in coal fired power plant. Main steam temperature is often described as non-linear and large inertia with long dead time parameters. This paper present main steam temperature modeling method using neural network with Levenberg-Marquardt learning algorithm. The result of the simulation showed that the main steam temperature modeling based on neural network with Levenberg-Marqurdt learning algorithm is able to replicate closely the actual plant behavior. Generator output, main steam flow, main steam pressure and total spray water flow are proven to be the main parameters affected the behavior of main steam temperature in coal fired power plant.

引用

页码：307 / +

页数：2

共 50 条

[31] Convergence analysis of a subsampled Levenberg-Marquardt algorithm
Xing, Ganchen
Gu, Jian
Xiao, Xiantao
OPERATIONS RESEARCH LETTERS, 2023, 51 (04) : 379 - 384
[32] A New Cuckoo Search Based Levenberg-Marquardt (CSLM) Algorithm
Nawi, Nazri Mohd
Khan, Abdullah
Rehman, Mohammad Zubair
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, PT I, 2013, 7971 : 438 - 451
[33] A Levenberg-Marquardt algorithm for unconstrained multicriteria optimization
Fischer, Andreas
Shukla, Pradyumn K.
OPERATIONS RESEARCH LETTERS, 2008, 36 (05) : 643 - 646
[34] Distributed localization using Levenberg-Marquardt algorithm
Ahmadi, Shervin Parvini
Hansson, Anders
Pakazad, Sina Khoshfetrat
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2021, 2021 (01)
[35] Levenberg-Marquardt Learning Algorithm for Quaternion-Valued Neural Networks
Popa, Calin-Adrian
PROCEEDINGS OF 2016 18TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING (SYNASC), 2016, : 272 - 278
[36] An Online Actor-Critic Learning Approach with Levenberg-Marquardt Algorithm
Ni, Zhen
He, Haibo
Prokhorov, Danil V.
Fu, Jian
2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2011, : 2333 - 2340
[37] Multilayer Potts Perceptrons With Levenberg-Marquardt Learning
Wu, Jiann-Ming
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2008, 19 (12): : 2032 - 2043
[38] Measurement and Modeling of Magnetostriction in Transformer Core Based on a BPNN Method Assisted with Levenberg-Marquardt Algorithm
Wang, Zhen
Zhang, Yanli
Mohammed, Osama A.
2019 INTERNATIONAL APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY SYMPOSIUM (ACES), 2019,
[39] Inductance parameter estimation based on Levenberg-Marquardt algorithm for DC inductor
Sheng H.
Mao J.
Li X.
Li X.
2016, Electric Power Automation Equipment Press (36): : 171 - 175
[40] An Application Based On Levenberg-Marquardt Bayesian Regulation Algorithm in Power Plate
Fangjihui
2018 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2018, : 825 - 828

← 1 2 3 4 5 →