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
收藏
页码：29 / 51
页数：23
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