Gas Turbine Modeling Based on Fuzzy Clustering Algorithm Using Experimental Data

The development of reliable mathematical models for nonlinear systems has been a primary topic in several industrial applications. This work proposes to examine the application of fuzzy logic to represent the control parameters of a gas turbine based on the fuzzy clustering method using Gustafson-Ke...

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Bibliographic Details
Published inApplied artificial intelligence Vol. 30; no. 1; pp. 29 - 51
Main Authors Benyounes, Abdelhafid, Hafaifa, Ahmed, Guemana, Mouloud
Format Journal Article
LanguageEnglish
Published Philadelphia Taylor & Francis 02.01.2016
Taylor & Francis Ltd
Subjects
Algorithms
Artificial intelligence
Classification
Clustering
Dynamical systems
Expert systems
Fuzzy logic
Gas turbines
Mathematical models
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Summary:The development of reliable mathematical models for nonlinear systems has been a primary topic in several industrial applications. This work proposes to examine the application of fuzzy logic to represent the control parameters of a gas turbine based on the fuzzy clustering method using Gustafson-Kessel algorithms. The results obtained from data classification of construction with associated models indicate applications in modeling the examined system.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0883-9514
1087-6545
DOI:10.1080/08839514.2016.1138808