Vibration Fault Diagnosis Method of Centrifugal Pump Based on EMD Complexity Feature and Least Square Support Vector Machine

0209 industrial biotechnology Energy(all) 0202 electrical engineering, electronic engineering, information engineering Empirical Mode Decomposition Least Square Support Vector Machine 02 engineering and technology centrifugal pump fault diagnosis complexity
DOI: 10.1016/j.egypro.2012.02.191 Publication Date: 2012-04-25T00:28:11Z
ABSTRACT
AbstractAiming at the non-stationary and non-linearity characteristics of the vibration signals of centrifugal pump, a new method based on complexity feature of Empirical Mode Decomposition (EMD) and Least Square Support Vector Machine (LS-SVM) is put forward. First of all, the Empirical Mode Decomposition (EMD) method was used to decompose the vibration signals into a finite number of stationary Intrinsic Mode Functions (IMF), and then complexity features of each IMF is extracted as the fault characteristics vectors and served as input parameters of LS-SVM classifier to diagnosis fault. Application results showed that the proposed method is very effective, which can better extract the nonlinear features of the fault and more exactly diagnosis fault.
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