Literature DB >> 12744398

A rapid signal processing technique to remove the effect of dispersion from guided wave signals.

Paul D Wilcox1.   

Abstract

Guided acoustic and ultrasonic waves have been utilized in various manners for non-destructive evaluation and testing. If a guided wave mode is dispersive, a pulse of energy will spread out in space and time as it propagates. For a long-range guided wave inspection application, this constrains the choice of operating point to regions on the dispersion curves where dispersion effects are small. A signal processing technique is presented that enables this constraint on operating point to be relaxed. The technique makes use of a priori knowledge of the dispersion characteristics of a guided wave mode to map signals from the time to distance domains. In the mapping process, dispersed signals are compressed to their original shape. The theoretical basis of the technique is described and an efficient numerical implementation is presented. The robustness of the technique to inaccuracies in the dispersion data is also addressed. The application of the technique to experimental data is shown and the resulting improvement in spatial resolution is demonstrated. The implications of using dispersion compensation in practical systems are briefly discussed.

Mesh:

Year:  2003        PMID: 12744398     DOI: 10.1109/tuffc.2003.1197965

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  9 in total

1.  Improving accuracy through density correction in guided wave tomography.

Authors:  P Huthwaite
Journal:  Proc Math Phys Eng Sci       Date:  2016-02       Impact factor: 2.704

2.  Amplitude Dispersion Compensation for Damage Detection Using Ultrasonic Guided Waves.

Authors:  Liang Zeng; Jing Lin; Liping Huang; Ming Zhao
Journal:  Sensors (Basel)       Date:  2016-09-30       Impact factor: 3.576

3.  Sparse and Dispersion-Based Matching Pursuit for Minimizing the Dispersion Effect Occurring when Using Guided Wave for Pipe Inspection.

Authors:  Javad Rostami; Peter W T Tse; Zhou Fang
Journal:  Materials (Basel)       Date:  2017-06-06       Impact factor: 3.623

4.  Signal Construction-Based Dispersion Compensation of Lamb Waves Considering Signal Waveform and Amplitude Spectrum Preservation.

Authors:  Jian Cai; Shenfang Yuan; Tongguang Wang
Journal:  Materials (Basel)       Date:  2016-12-23       Impact factor: 3.623

5.  Development of a Novel Guided Wave Generation System Using a Giant Magnetostrictive Actuator for Nondestructive Evaluation.

Authors:  Mingzhang Luo; Weijie Li; Junming Wang; Ning Wang; Xuemin Chen; Gangbing Song
Journal:  Sensors (Basel)       Date:  2018-03-04       Impact factor: 3.576

6.  Strategies for data acquisition using ultrasonic phased arrays.

Authors:  A Velichko; A J Croxford
Journal:  Proc Math Phys Eng Sci       Date:  2018-10-17       Impact factor: 2.704

7.  A Crack Size Quantification Method Using High-Resolution Lamb Waves.

Authors:  Xianjun Li; Jinsong Yang; Guangdong Zhang
Journal:  Sensors (Basel)       Date:  2021-10-19       Impact factor: 3.847

8.  Strategies for guided acoustic wave inspection using mobile robots.

Authors:  Jie Zhang; Xudong Niu; Anthony J Croxford; Bruce W Drinkwater
Journal:  Proc Math Phys Eng Sci       Date:  2022-03-02       Impact factor: 2.704

9.  Damage Detection in Flat Panels by Guided Waves Based Artificial Neural Network Trained through Finite Element Method.

Authors:  Donato Perfetto; Alessandro De Luca; Marco Perfetto; Giuseppe Lamanna; Francesco Caputo
Journal:  Materials (Basel)       Date:  2021-12-10       Impact factor: 3.623

  9 in total

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