Gas Turbine Modeling Based on Fuzzy Clustering Algorithm Using Experimental Data

被引：36

作者：

Benyounes, Abdelhafid ^{[1
]}

Hafaifa, Ahmed ^{[1
]}

Guemana, Mouloud ^{[2
]}

机构：

[1] Univ Djelfa, Fac Sci & Technol, Appl Automat & Ind Diagnost Lab, Bloc 73 20 W, Djelfa, Algeria

[2] Univ Medea, Fac Sci & Technol, Medea, Algeria

来源：

APPLIED ARTIFICIAL INTELLIGENCE | 2016年 / 30卷 / 01期

关键词：

SYSTEMS; IDENTIFICATION; PARTITIONS; NETWORKS;

D O I：

10.1080/08839514.2016.1138808

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：29 / 51

页数：23

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