Wavelet-transform-based method of analysis for Lamb-wave ultrasonic NDE signals

Legendre, S.; Massicotte, Daniel; Goyette, J.; Bose, T. K.

doi:10.1109/19.850388

Cited by 94 publications

(46 citation statements)

References 7 publications

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“…Wavelet transform is applied to eliminate noise of the sensed Lamb wave ultrasonic signals (Legendre et al, 2000). Wavelet transform is computationally simple and provides a compact representation of a signal in the time and frequency domains.…”

Section: Wavelet-based Signal Processingmentioning

confidence: 99%

Instantaneous baseline structural damage detection using a miniaturized piezoelectric guided waves system

et al. 2010

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In recent years, new Structural Health Monitoring (SHM) methodologies with a concept of "instantaneous baseline damage detection" are being developed by many researchers since it has been found that the most of SHM technologies are too vulnerable to environmental and/or operational variations. In this context, this paper presents online instantaneous baseline structural damage detection using a low cost and low power, in-situ piezoelectric guided waves-SHM system. Firstly, four small, low cost and light weight smart Piezoelectric Ceramic (PZT) patches are surface-mounted and assumed to have the same bonding conditions to detect structural defects on an aluminum plate. Then, a miniaturized low power guided waves-SHM system with a Digital Signal Processing (DSP) module is employed for signal generation/excitation, signal sensing, and data processing. The instantaneous baseline damage detection based on Wavelet Transform (WT) and Cross Correlation (CC) analysis is carried out on the DSP module. Finally, effects of Lamb waves due to artificial 'cut-damage' at different locations are investigated using both "pitch-catch" and "pulse-echo" wave propagation schemes. Conclusively, this study shows a good potential for online and in-situ crack monitoring on panel structures such as an aircraft wing.

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Section: Wavelet-based Signal Processingmentioning

confidence: 99%

Instantaneous baseline structural damage detection using a miniaturized piezoelectric guided waves system

et al. 2010

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“…Since the mode conversion and strong reflection occurs at the location of boundaries or with flaws, much information about the flaws along with the pipe is contained in the reflected signal. From the aspect of signal processing, flaw detection for the ultrasonic guided waves signal can be reduced to the issue of peak detection [4]. However, the different propagation modes of guided waves which vary with time result in the non-stationary characteristic of the ultrasonic signal, which makes conventional methods like Fourier analysis cannot function well.…”

Section: Introductionmentioning

confidence: 99%

Flaw classification in ultrasonic guided waves signal using Wavelet Transform and PNN classifier

Zhang

Sun

Liu

et al. 2011

2011 International Conference on Wireless Communications and Signal Processing (WCSP)

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In this paper, a synthesized algorithm for flaw classification in ultrasonic guided waves signal is presented, in which Wavelet Transform is utilized in the process of noise suppression and envelop extraction, and the Probabilistic Neural Network (PNN) is introduced for flaw classification of the ultrasonic testing signal. Besides, in the process of feature extraction, the necessity of attenuation correction and feature selection of ultrasonic signal is discussed. The comparison of the performances of PNN and BP classifier is made in the last chapter, which demonstrates that the performance of flaw classification is significantly improved by the synthesized algorithm presented in this paper.

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“…Non-destructive testing (NDT) technology is a method of determining the physical properties, state, and internal structure of the material without damaging it [1][2][3][4][5]. The primary means of NDT include: ultrasonic testing [6], magnetic flux leakage testing [7], eddy current testing [8], radiation testing in medical treatment [9], and optical fiber for long-term strain detection for buildings [10].…”

Section: Introductionmentioning

confidence: 99%

Characteristics of T(0, 1) Guided-Wave Point-Focusing Electromagnetic Acoustic Transducer for Pipe Inspection

et al. 2020

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Wavelet-transform-based method of analysis for Lamb-wave ultrasonic NDE signals

Cited by 94 publications

References 7 publications

Instantaneous baseline structural damage detection using a miniaturized piezoelectric guided waves system

Instantaneous baseline structural damage detection using a miniaturized piezoelectric guided waves system

Flaw classification in ultrasonic guided waves signal using Wavelet Transform and PNN classifier

Characteristics of T(0, 1) Guided-Wave Point-Focusing Electromagnetic Acoustic Transducer for Pipe Inspection

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