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

Abstract

Aiming 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.