Open AccessApplication of Hilbert-Huang Transform in Ultrasonic Echo Signal Processing of Composites
Author(s) -
Gao Chengqiang,
Guiming Chen,
Xiaomei Shi
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1325/1/012168
Subject(s) - hilbert–huang transform , spectrogram , acoustics , hilbert transform , signal (programming language) , ultrasonic sensor , energy (signal processing) , ultrasonic testing , signal processing , echo (communications protocol) , time domain , instantaneous phase , nondestructive testing , hilbert spectral analysis , computer science , materials science , mathematics , speech recognition , physics , spectral density , radar , computer vision , telecommunications , statistics , computer network , programming language , quantum mechanics
The ultrasonic nondestructive testing signals of carbon fiber reinforced composites have the characteristics of non-stationary and low signal-to-noise ratio, and Hilbert-Huang transform has unique advantages in feature extraction of such signals. This paper introduces the basic idea and method of Hilbert-Huang transform, which decomposes ultrasonic echo signals into several intrinsic mode functions, highlights the local characteristics of signals, and then obtains Hilbert spectrogram, marginal spectrum and instantaneous energy spectrum, so as to reveal the process of simultaneous changes of signal energy in time domain and frequency domain.