학술논문

A Low-Velocity Impact Localization Method for Composite Stiffened Plate Based on AIC and WPT
Document Type
Periodical
Source
IEEE Sensors Journal IEEE Sensors J. Sensors Journal, IEEE. 24(7):10993-11002 Apr, 2024
Subject
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Robotics and Control Systems
Location awareness
Sensors
Wavelet packets
Monitoring
Databases
Reliability
Correlation
Akaike information criterion (AIC)
composite structure
impact localization
reference database
sparse sensor networks
wavelet packet transform (WPT)
Language
ISSN
1530-437X
1558-1748
2379-9153
Abstract
Impact localization can provide accurate location information for rapid scanning and diagnosis of structural damage and sufficiently improve the efficiency of structural maintenance. The reference database method is commonly used to locate impact events, the key to which is how to match the incoming impact events with the reference impact events correctly by reliable features and valid metrics. However, for complex reinforced ribbed structures commonly used in aerospace, the stress wave generated by the impact is strongly coupled with the structure, which directly affects and interferes with the feature construction and similarity metric of the impact signal. In this article, the influence of complex structures on the accuracy of localization discrimination was overcome by using the Akaike information criterion (AIC) and wavelet packet transform (WPT). In the first step, the impact signals were first calibrated for time-of-arrival by the AIC function and then were reconstructed by WPT based on energy threshold to obtain reliable time–frequency characteristics. In the second step, the Pearson correlation coefficient was used to measure the correlation between two impact events, and then, the accurate impact coordinates were obtained by the centroid localization method based on the multiplexed sensing signals. The experimental validation results of low-velocity impacts on composite stiffened plate show that the method is able to locate the impact event with high accuracy under the working conditions of sparse sensing network and fewer reference samples, which meets the requirements of localization applications.