Reconstruction and intelligent control for power plant / Chen Peng, Chuanliang Cheng, Ling Wang.
Peng, Chen, author.; Cheng, Chuanliang, author.; Wang, Ling, author.
2023
TJ217.5
Available Online

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Title
Reconstruction and intelligent control for power plant / Chen Peng, Chuanliang Cheng, Ling Wang.
Author
Peng, Chen, author.
ISBN
9789811955747 (electronic bk.)
9811955743 (electronic bk.)
9789811955730
9811955735
DOI
https://doi.org/10.1007/978-981-19-5574-7
Published
Singapore : Springer, [2023]
Copyright
©2023
Language
English
Description
1 online resource (xv, 208 pages) : illustrations (chiefly color)
Item Number
10.1007/978-981-19-5574-7 doi
Call Number
TJ217.5
Dewey Decimal Classification
629.8/9563
Summary
The authors' innovative research ideas in power plant control are presented in this book. This book focuses on 1) cognition and reconstruction of the temperature field; 2) intelligent setting and learning of power plants; 3) energy efficiency optimization and intelligent control for power plants, and so on, using historical power plant operation data and creative methods such as reconstruction of the combustion field, deep reinforcement learning, and networked collaborative control. It could help researchers, industrial engineers, and graduate students in the areas of signal detection, image processing, and control engineering.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed October 7, 2022).
Added Author
Cheng, Chuanliang, author.
Wang, Ling, author.
Available in Other Form
Print version: 9789811955730
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Introduction
Adaptive mixed edge detection of furnace flame image
Intelligent flame image segmentation of furnace flame image
Reconstruction of temperature field based on limited flame image information
Furnace temperature prediction based on optimized kernel extreme learning machine
Process modeling of power plant
Fuzzy K-means network based generalized predictive control for power plant
Deep-neural-network based nonlinear predictive control for power plant
Intelligent virtual reference feedback tuning based data driven control for power plant.

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