Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks (Paperback)
  • Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks (Paperback)
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Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks (Paperback)

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£60.00
Paperback Published: 27/07/2017
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Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks provides new approaches and novel solutions to the modeling, simulation, and control of gas turbines (GTs) using artificial neural networks (ANNs). After delivering a brief introduction to GT performance and classification, the book:

Outlines important criteria to consider at the beginning of the GT modeling process, such as GT types and configurations, control system types and configurations, and modeling methods and objectivesHighlights research in the fields of white-box and black-box modeling, simulation, and control of GTs, exploring models of low-power GTs, industrial power plant gas turbines (IPGTs), and aero GTsDiscusses the structure of ANNs and the ANN-based model-building process, including system analysis, data acquisition and preparation, network architecture, and network training and validationPresents a noteworthy ANN-based methodology for offline system identification of GTs, complete with validated models using both simulated and real operational dataCovers the modeling of GT transient behavior and start-up operation, and the design of proportional-integral-derivative (PID) and neural network-based controllers

Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks not only offers a comprehensive review of the state of the art of gas turbine modeling and intelligent techniques, but also demonstrates how artificial intelligence can be used to solve complicated industrial problems, specifically in the area of GTs.

Publisher: Taylor & Francis Ltd
ISBN: 9781138893443
Weight: 318 g
Dimensions: 234 x 156 mm


MEDIA REVIEWS

"... specifically deals with modeling gas turbine behavior under unsteady conditions. This topic is rarely addressed in detail in current technical literature. The selected approach covers both physics-based and black-box models. The approaches are compared and the respective strong/weak points are highlighted. The book is written under a user perspective and provides several examples of applications of the proposed methodologies."
-Prof. Mauro Venturini, Universita degli Studi di Ferrara, Italy

"... offers a mechatronics approach for gas turbines through a complete cycle of modeling, simulation/analysis, and control designs. This book is helpful for mechatronics engineers and graduate researchers."
-Yangquan Chen, University of California, Merced, USA

"... very helpful for students in areas such as mechanics, mechatronics, control, and automation. ... a very good book."
-De Xu, Institute of Automation, Chinese Academy of Sciences, Beijing

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