£99.01

CRC Press Gas Turbines Modeling, Simulation, and Control - Neural Networks

125 black & white illustrations, 24 colo

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Description

Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks by CRC Press presents innovative methods for modelling, simulating, and controlling gas turbines through artificial neural network technology. This comprehensive guide begins with foundational concepts in gas turbine performance and classification, then examines critical factors in the modelling process including turbine types, configurations, control system architectures, and modelling methodologies. The book explores both white-box and black-box modelling approaches, providing engineers and researchers with practical solutions for optimising turbine performance and developing effective control strategies. Ideal for professionals working in energy generation, aerospace, and industrial applications who need to understand advanced simulation techniques and neural network applications in turbine systems.

Key Features

Gas turbine performance and classification fundamentals establish the foundation for understanding modelling principles and turbine behaviour.

White-box and black-box modelling research methods enable flexible approaches to gas turbine system representation and analysis.

Control system types and configurations are thoroughly examined to guide effective turbine operation and management strategies.

Artificial neural networks provide advanced computational techniques for accurate gas turbine simulation and performance prediction.

Modelling objectives and methodologies are detailed to help engineers select appropriate approaches for specific gas turbine applications.

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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