Loudspeaker abnormal sound classification using variational mode decomposition and energy entropy

In order to realize the loudspeaker abnormal sound classification more accurately and promote the automation of classification,a classification method of loudspeaker abnormal sound based on Variational Mode Decomposition(VMD) energy entropy and Support Vector Machine optimized by Genetic Algorithm(GA-SVM) is proposed.First,VMD is used to decompose sound response signals of loudspeaker units,then the energy entropy of each Variational Mode Function(VMF) is extracted and analyzed statistically,and finally the judgment of loudspeaker abnormal sound is performed by GA-SVM.The experimental results show that,compared with VMD time-frequency entropy,Empirical Mode Decomposition(EMD) energy entropy and EMD time-frequency entropy,VMD energy entropy can more accurately characterize features of loudspeaker abnormal sound and has higher average recognition rate,which reaches 96.3%,compared with the above three methods,18.3%,24.0% and 54.3% are increased respectively.