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
AUTHORS (2)
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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