£105.41

CRC Press Gas Turbines Modeling and Control ANN Book

125 black & white illustrations, 24 colo

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Description

Explore advanced technical solutions for gas turbine engineering with this comprehensive guide from CRC Press. Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks presents modern approaches to the modeling, simulation, and control of gas turbines (GTs) through the application of artificial neural networks (ANNs). This resource begins with a foundational introduction to GT performance and classification, providing a solid starting point for readers. It then moves into practical application by outlining the essential criteria needed at the start of the modeling process. Readers will gain knowledge regarding various GT types, configurations, and control system setups. By focusing on both white-box and black-box modeling, this book highlights current research and methods to improve simulation accuracy and control efficiency. It is designed for professionals and researchers looking to implement neural network technologies to solve complex modeling objectives in gas turbine systems.

Key Features

Learn new approaches to gas turbine modeling and simulation using artificial neural networks (ANNs).

Get a clear introduction to gas turbine performance and different classification methods.

Identify important criteria for the modeling process, including GT types and configurations.

Understand various control system types and their specific configurations for turbine management.

Explore research in white-box and black-box modeling to improve simulation results.

Develop effective modeling methods and objectives for complex gas turbine systems.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
16 October 2015
Listed Since
13 April 2015

Barcode

No barcode data available

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