TY - GEN
T1 - Anfis model for vibration signals of an induction motor based on aging process decreasing the nonlinearity
AU - Bayram, D.
AU - Şeker, S.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84892631197&partnerID=8YFLogxK
U2 - 10.1142/9789814417747_0183
DO - 10.1142/9789814417747_0183
M3 - Conference contribution
AN - SCOPUS:84892631197
SN - 9789814417730
T3 - World 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.
SP - 1143
EP - 1148
BT - World 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.
PB - World Scientific Publishing Co. Pte Ltd
T2 - 10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
Y2 - 26 August 2012 through 29 August 2012
ER -