Abstract:
In order to identified the similar property but different kinds of metallic material,a classification algorithm based on EMD(empirical mode decomposition)and generalized phase permutation entropy is proposed. The empirical mode decomposition algorithm is used to decompose the original signals, and the IMFs (Intrinsic Mode Functions)of the signals from high frequency to low frequency are obtained.The entropy values of the IMFs are calculated by the generalized phase permutation entropy. The entropy values which show obvious differences components of the signals, are selected as the characteristic ones. The KSVM clustering algorithm is applied to achieve the classification of the metal materials. The ultrasound echoes signal of forty kinds with similar properties are collected by experiments.The echo signal features are extracted by EMD decomposition and generalized phase permutation entropy algorithm, and classified by KSVM classifier. The results indicate that the generalized phase permutation entropy of IMF1 components of metal materials is the most significant difference, which is used to classify the characteristics of forty ultrasonic echo signals of metal materials. The classification results are stable and the accuracy is higher than 96.3%.
