低信噪比下针对平板结构冲击的快速定位算法

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摘要为实现低信噪比(signal-to-noise ratio,SNR)条件下平板结构受到冲击后的快速准确定位，本文首先结合集合经验模态分解(ensemble empirical mode decomposition, EEMD)和希尔伯特变换，从冲击信号中提取弯曲波模态分量。利用Hilbert包络线第一峰值作为弯曲波到达时间，将不同传感器到达时间差作为特征构建数据库。其次利用平板结构中传感器信号能量分布准则判断初始的定位区域。最后计算划分网格的特征残差，实现冲击位置的快速定位。经过平板敲击实验验证：在信噪比为5dB和 0dB情况下，本文算法与基于广义互相关（generalized cross correlation，GCC）和信号阈值的定位算法的定位误差分别为0.08m、0.17m、0.18m和0.13m、0.26m、0.28m，说明本文算法具有更好的抗噪性能和更高的定位精度。

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	彭涛1
	2
	崔立林1
	2
	黄秀峰1
	2
	徐荣武1
	2
	余文晶1
	2
	程果1
	2

关键词 ：集合经验模态分解(EEMD), Hilbert包络, 时延估计, 特征数据库

Abstract：In order to achieve fast and accurate location of flat plate structure under low signal-to-noise ratio(SNR), this paper firstly combines ensemble empirical mode decomposition and Hilbert transform to extract modal component of curved wave from impact signal. The first peak value of Hilbert envelope is used as the arrival time of bending wave, and the arrival time difference of different sensors is used as the feature to construct the database. Secondly, the initial location area is determined by the energy distribution criterion of sensor signal in the plate structure. Finally, the characteristic residuals are calculated to realize the fast location of impact location. It is verified by plate knock experiment that when SNR=5dB and SNR=0dB, the positioning errors of the proposed algorithm and the positioning algorithm based on GCC and signal threshold are 0.08m, 0.17m, 0.18m and 0.13m, 0.26m, 0.28m respectively, indicating that the proposed algorithm has better anti-noise performance and higher positioning accuracy.

收稿日期: 2022-04-07 出版日期: 2023-05-28

引用本文:

彭涛1,2，崔立林1,2，黄秀峰1,2，徐荣武1,2，余文晶1,2，程果1,2. 低信噪比下针对平板结构冲击的快速定位算法[J]. 振动与冲击, 2023, 42(10): 180-187.
PENG Tao1,2,CUI Lilin1,2,HUANG Xiufeng1,2,XU Rongwu1,2,YU Wenjing1,2,CHENG Guo1,2 . Fast localization algorithm for impact of flat plate structure under low SNR. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(10): 180-187.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2023/V42/I10/180

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