Reconstruction and Intelligent Control for Power Plant
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Product details:
- Edition number 1st ed. 2023
- Publisher Springer Nature Singapore
- Date of Publication 22 September 2022
- Number of Volumes 1 pieces, Book
- ISBN 9789811955730
- Binding Hardback
- No. of pages208 pages
- Size 235x155 mm
- Weight 506 g
- Language English
- Illustrations XV, 208 p. 100 illus., 90 illus. in color. Illustrations, black & white 289
Categories
Long description:
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.
MoreTable of Contents:
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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