Acoustic-vibration detection for internal defects of magnetic tile based on VMD and BAS

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Journal of Vibration and Shock ›› 2020, Vol. 39 ›› Issue (17) : 124-133.

HUANG Qinyuan1, XIE Luofeng2, YIN Guofu2, RAN Maoxia1, LIU Xin1

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Abstract

Variational mode decomposition (VMD) with not only preset scale but also self-adaptable ability possesses a significant advantage in processing the acoustic impact signal for detecting the internal defect in arc magnet using acoustic impact method. However, the performance of VMD extremely depends on the parameters selection, while these parameters have considerable quantity and wide range. In order to obtain consistent VMD parameters that are suitable for all acoustic impact signals, a novel VMD parameter optimization with beetle antennae search (BAS) algorithm was presented. Firstly, an objective function based on both mode energy distribution and mode center frequency variation was designed by the signal characteristics. Secondly, BAS was executed to search for the objective function maximum from the VMD parameter space. The parameters corresponding to the maximum were selected as the optimal VMD parameters. Finally, the signals were processed by VMD with these optimal parameters, and then the mode center frequencies associated with the internal defect were extracted as the signal features. The classifier based on support vector machine was employed for the feature identification. The experimental results demonstrate that the proposed method can efficiently optimize VMD parameters and realize a rapid and accurate detection of the internal defect in arc magnet.

Key words

variational mode decomposition / beetle antennae search / arc magnet / internal defect / acoustic impact signal

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HUANG Qinyuan1, XIE Luofeng2, YIN Guofu2, RAN Maoxia1, LIU Xin1. Acoustic-vibration detection for internal defects of magnetic tile based on VMD and BAS[J]. Journal of Vibration and Shock, 2020, 39(17): 124-133

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