Anfis model for vibration signals of an induction motor based on aging process decreasing the nonlinearity

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Özet

In this study an ANFIS model is aimed to achieve the vibration signals decreasing the nonlinearity with moving average technique. This nonlinearity is observed by an aging process of an induction motor. The aging process is identified by vibration data taken from healthy and aged (faulty) cases of the same induction motor. In order to change the nonlinearity degree of the system, moving average method is applied to the input and output pairs for different lagging factors. The success of the model is attached two conditions; these are the progress of the ANFIS and the characteristics of the model output. The gauges of these conditions are training - checking errors of ANFIS and cross correlation coefficient between Power Spectral Densities of the model output and faulty case data (real data), respectively.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıWorld Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
YayınlayanWorld Scientific Publishing Co. Pte Ltd
Sayfalar1143-1148
Sayfa sayısı6
ISBN (Basılı)9789814417730
DOI'lar
Yayın durumuYayınlandı - 2012
Etkinlik10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012 - Istanbul, Turkey
Süre: 26 Ağu 201229 Ağu 2012

Yayın serisi

AdıWorld Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
Hacim7

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???event.eventtypes.event.conference???10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot26/08/1229/08/12

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