Neural Networks for Gas Turbine Diagnosis
( Artificial Neural Networks - Models and Applications )
Publication series ： Artificial Neural Networks - Models and Applications
Author： Igor Loboda
Publisher： IntechOpen
Publication year： 2016
E-ISBN: INT6149363107
P-ISBN(Paperback): 9789535127048
P-ISBN(Hardback): 9789535127055
Subject： TP Automation Technology , Computer Technology
Keyword： 自动化技术、计算机技术
Language： ENG
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Neural Networks for Gas Turbine Diagnosis
Description
The present chapter addresses the problems of gas turbine gas path diagnostics solved using artificial neural networks. As a very complex and expensive mechanical system, a gas turbine should be effectively monitored and diagnosed. Being universal and powerful approximation and classification techniques, neural networks have become widespread in gas turbine health monitoring over the past few years. Applications of such networks as a multilayer perceptron, radial basis network, probabilistic neural network, and support vector network were reported. However, there is a lack of manuals that summarize neural network applications for gas turbine diagnosis.
Chapter