Gas Turbine Modeling Based on Fuzzy Clustering Algorithm Using Experimental Data |
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| Authors: | Abdelhafid Benyounes Mouloud Guemana |
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| Affiliation: | 1. Applied Automation and Industrial Diagnostics Laboratory, Faculty of Science and Technology, University of Djelfa, Djelfa, Algeria;2. Faculty of Science and Technology, University of Médéa, Médéa, Algeria |
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| Abstract: | 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. |
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