SVM-based wavelet selection for fault diagnosis of monoblock centrifugal pump
by V. Muralidharan; V. Sugumaran
International Journal of Data Analysis Techniques and Strategies (IJDATS), Vol. 8, No. 4, 2016

Abstract: In the present study, the application of SVM algorithm in the field of fault diagnosis and condition monitoring is discussed. The continuous wavelet transforms are calculated for different families and at different levels. The computed transformation coefficients form the feature set for the classification of good and faulty conditions of the components of centrifugal pump. The classification accuracies of different continuous wavelet families at different levels are calculated and compared to find the best wavelet for the fault diagnosis of the monoblock centrifugal pump.

Online publication date: Fri, 06-Jan-2017

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