Seawater pump excitation source identification based on WOA-VMD-MSE-SVM
Aiming at the problem that it is difficult to identify the complex multiple excitations of the sea water pump accurately,a method based on the combination of variational modal decomposition(VMD),whale optimisation algorithm(WOA),multi-scale entropy(MSE)and support vector machine(SVM)is proposed to identify the excitation source of the sea water pump.Based on the vibration signal of the sea water pump,the WOA algorithm and VMD algorithm are firstly used to optimise the two important parameters,the number of decomposition layers K and the penalty coefficient α,then the signal is decomposed and reorganised.The multiscale entropy of the restructured signal is extracted and input into the WOA-SVM model as a feature vector to perform parameter optimisation on the two important parameters of the SVM,the penalty factor c and the kernel coefficient g.Finally,the obtained coefficients are brought into the SVM model for training and excit-ation source identification.Through the real ship seawater pump excitation source identification and comparative analysis,verified that the identification method is effective.The research results surface that the proposed WOA-VMD-MSE-SVM al-gorithm meets the accurate requirements for the identification of excitation sources of seawater pumps.
NETL
NSTL
万方数据
