文献类型：期刊文献

英文题名：Broadband Local Spectral Amplitude Analysis for Laser Ultrasonic Imaging of Deep-Seated Defects in Thick-Walled Regions of Wind Turbine Blades

作者：Ning, Botao[1];Zeng, Liang[1];Gao, Fei[2];Luo, Zhi[3]

机构：[1]Xi An Jiao Tong Univ, Sch Mech Engn, Xian 710049, Peoples R China;[2]Beihang Univ, Sch Reliabil & Syst Engn, Beijing 100191, Peoples R China;[3]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai 200237, Peoples R China

年份：2026

卷号：75

外文期刊名：IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

收录：;EI(收录号：20261920653875);WOS:【SCI-EXPANDED(收录号:WOS:001754888000006)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 52375123 and in part by the Key Research and Development Program of Henan Province under Grant 241111222300. The Associate Editor coordinating the review process was Dr. Anil Karatay.

语种：英文

外文关键词：Phased arrays; Apertures; Antenna arrays; Antennas; Motion pictures; Broadcasting; Contacts; Filtering; Filters; Circuits and systems; Laser Doppler vibrometer (LDV); laser ultrasonic; longitudinal waves; ultrasonic imaging; wind turbine blade

摘要：Damage detection in wind turbine blades is crucial for ensuring the safe operation of wind power systems. This article presents a broadband local spectral amplitude analysis method for characterizing hidden damage in the thick-walled regions of wind turbine blades. The proposed method analyzes the enhanced characteristics of the frequency spectrum within specific frequency bands resulting from the interaction between longitudinal waves and damage. First, Fourier transform is applied to the time-space function to obtain the frequency-space spectral function. Subsequently, short-space Fourier transform (SSFT) is used to focus on the amplitude features within specific local regions of the frequency-space spectral function. By extracting the amplitude differences between healthy and damaged regions, 2-D visualization of the hidden damage could be achieved. Following this, average fusion is performed within selected frequency bands to enhance the clarity and noise resistance of the imaging results. The detection scheme employs a noncontact technique combining laser excitation with a laser Doppler vibrometer (LDV) for reception, thereby avoiding issues related to sensor coupling inherent in traditional contact-based detection methods. Experimental results demonstrate that the method can accurately locate the damage center, delineate the damage contours, and exhibit excellent sensitivity and stability in detecting hidden damage at different depths.