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

Minghua Zhao; Shiyuan Zhou; Quanpeng Yu; Xiaodan Hu; Xiaoying Sun

doi:10.1109/IUS52206.2021.9593825

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

Minghua Zhao, Shiyuan Zhou, Quanpeng Yu, Xiaodan Hu, Xiaoying Sun

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

Abstract

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.

Original language	English
Journal	IEEE International Ultrasonics Symposium, IUS
DOIs	https://doi.org/10.1109/IUS52206.2021.9593825
Publication status	Published - 2021
Event	2021 IEEE International Ultrasonics Symposium, IUS 2021 - Virtual, Online, China Duration: 11 Sept 2011 → 16 Sept 2011

Keywords

guided wave
quantitative detection
singular value
wavelet packet decomposition
wing icing

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10.1109/IUS52206.2021.9593825

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

abstract = "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.",

keywords = "guided wave, quantitative detection, singular value, wavelet packet decomposition, wing icing",

author = "Minghua Zhao and Shiyuan Zhou and Quanpeng Yu and Xiaodan Hu and Xiaoying Sun",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Ultrasonics Symposium, IUS 2021 ; Conference date: 11-09-2011 Through 16-09-2011",

year = "2021",

doi = "10.1109/IUS52206.2021.9593825",

language = "English",

journal = "IEEE International Ultrasonics Symposium, IUS",

issn = "1948-5719",

publisher = "IEEE Computer Society",

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T1 - Research on Guided Wave Signal Processing Method for Wing Icing Quantitative Detection Based on Wavelet Packet Decomposition-Singular Value

AU - Zhao, Minghua

AU - Zhou, Shiyuan

AU - Yu, Quanpeng

AU - Hu, Xiaodan

AU - Sun, Xiaoying

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - guided wave

KW - quantitative detection

KW - singular value

KW - wavelet packet decomposition

KW - wing icing

UR - http://www.scopus.com/inward/record.url?scp=85122884827&partnerID=8YFLogxK

U2 - 10.1109/IUS52206.2021.9593825

DO - 10.1109/IUS52206.2021.9593825

M3 - Conference article

AN - SCOPUS:85122884827

SN - 1948-5719

JO - IEEE International Ultrasonics Symposium, IUS

JF - IEEE International Ultrasonics Symposium, IUS

T2 - 2021 IEEE International Ultrasonics Symposium, IUS 2021

Y2 - 11 September 2011 through 16 September 2011

ER -

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

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Keywords

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