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Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology
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Gas Turbines Modeling, Simulation, and Control - Using Artificial Neural Networks (Hardcover)
Loot Price: R5,566
Discovery Miles 55 660
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Gas Turbines Modeling, Simulation, and Control - Using Artificial Neural Networks (Hardcover)
Expected to ship within 12 - 17 working days
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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
objectives Highlights 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 GTs Discusses the structure of ANNs and the
ANN-based model-building process, including system analysis, data
acquisition and preparation, network architecture, and network
training and validation Presents a noteworthy ANN-based methodology
for offline system identification of GTs, complete with validated
models using both simulated and real operational data Covers 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.
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