Research on Guided Wave Signal Processing Method for Wing Icing Quantitative Detection Based on Wavelet Packet Decomposition-Singular Value

Autor: Xiao-Dan Hu, Ming-Hua Zhao, Shi-Yuan Zhou, Sun Xiaoying, Quan-Peng Yu
Rok vydání: 2021
Předmět:
Zdroj: 2021 IEEE International Ultrasonics Symposium (IUS).
Popis: When ultrasonic guided wave are used for icing detection, the multimodal and dispersion characteristics of guided wave make the guided wave signal very complicated, and it is difficult to identify time domain signal directly. Wavelet packet decomposition has excellent time-frequency resolution characteristic, and singular value decomposition can extract important features of time-frequency matrix. Therefore, a guided wave signal processing method based on wavelet packet decomposition-singular value (WPD-SV) is proposed, which successfully extracted icing related signal features, and the finite element simulation and experimental results show that the quantitative detection of wing icing is realized.
Databáze: OpenAIRE