Gain-Phase Error-Calibrated Piezoelectric Sensor Array-Based Impact Localization on Stiffened Curved Composite Structures

Zhiling Wang; Jinyu Zhou; Yongteng Zhong; Chaoyue Li

doi:10.3390/s22155879

Gain-Phase Error-Calibrated Piezoelectric Sensor Array-Based Impact Localization on Stiffened Curved Composite Structures

Sensors (Basel). 2022 Aug 5;22(15):5879. doi: 10.3390/s22155879.

Authors

Zhiling Wang¹, Jinyu Zhou¹, Yongteng Zhong², Chaoyue Li¹

Affiliations

¹ School of Mechanical and Electrical Engineering, Jinling Institute of Technology, Nanjing 211169, China.
² College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China.

Abstract

Stiffened structure-induced gain-phase errors degrade the performance of the high-resolution two-dimensional multiple signal classification (2D-MUSIC) algorithm, which makes it impossible to ensure the high accuracy of impact localization results. To eliminate the localization bias caused by these errors, a calibrated 2D-MUSIC-based impact localization method is first introduced. Firstly, time-frequency characteristics of the non-stationary impact signals are evaluated by experiment to obtain a clear first wave packet or a wave packet that purely corresponds to a single mode through continuous wavelet transform (CWT). Then, the uniform linear array covariance matrix with gain-phase errors is calibrated to be constructed as a Toeplitz structural matrix. By reconstructing covariance matrix R, 2D-MUSIC-based impact localization is calibrated for stiffened curved composite structures. Experimental research on the stiffened curved composite panel is carried out, and these impact localization results demonstrate the validity and effectiveness of the calibrated 2D-MUSIC-based method.

Keywords: calibrated 2D-MUSIC; impact localization; piezoelectric sensor array; stiffened curved panels.

Grants and funding

This research was funded by the National Natural Science Foundation of China (No.51905242, No.52075232), the Natural Science Foundation of Jiangsu Province of China (No.BK20201112, No.BK20170767), and the High-level talent work start-up fee funded project of the Jinling Institute of Technology of China (No.jit-b-201823).