Application of self-adaptive wavelet neural networks in ultrasonic detecting

Xi Peng Yin; Yang Yu Fan; Zhe Min Duan; Wei Cheng

doi:10.1109/ICASID.2009.5276998

Application of self-adaptive wavelet neural networks in ultrasonic detecting

Xi Peng Yin, Yang Yu Fan, Zhe Min Duan, Wei Cheng

School of Electronics and Information

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

It is important to remove the noise signal effectively in non-destructive testing. Using the wavelet and neural network algorithm, the author constructed self-adaptive wavelet neural networks in the ultrasonic testing. Better fitting signal is achieved by choosing Orthogonal Daubechies wavelet neuron and optimized scale parameter. The simulation results showed less distortion and better noise cancellation, and the method can be widely applied ton ultrasonic detecting.

Original language	English
Title of host publication	2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009
Publisher	IEEE Computer Society
Pages	600-602
Number of pages	3
ISBN (Print)	9781424438839
DOIs	https://doi.org/10.1109/ICASID.2009.5276998
State	Published - 2009
Event	2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009 - Hong Kong, China Duration: 20 Aug 2009 → 22 Aug 2009

Publication series

Name	2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009

Conference

Conference	2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009
Country/Territory	China
City	Hong Kong
Period	20/08/09 → 22/08/09

Keywords

Neural networks
Self-adaptive
Ultrasonic
Wavelet analysis

Access to Document

10.1109/ICASID.2009.5276998

Cite this

Yin, X. P., Fan, Y. Y., Duan, Z. M., & Cheng, W. (2009). Application of self-adaptive wavelet neural networks in ultrasonic detecting. In 2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009 (pp. 600-602). Article 5276998 (2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009). IEEE Computer Society. https://doi.org/10.1109/ICASID.2009.5276998

Yin, Xi Peng ; Fan, Yang Yu ; Duan, Zhe Min et al. / Application of self-adaptive wavelet neural networks in ultrasonic detecting. 2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009. IEEE Computer Society, 2009. pp. 600-602 (2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009).

@inproceedings{398f7fe7a0284e2ca41f6697c006935d,

title = "Application of self-adaptive wavelet neural networks in ultrasonic detecting",

abstract = "It is important to remove the noise signal effectively in non-destructive testing. Using the wavelet and neural network algorithm, the author constructed self-adaptive wavelet neural networks in the ultrasonic testing. Better fitting signal is achieved by choosing Orthogonal Daubechies wavelet neuron and optimized scale parameter. The simulation results showed less distortion and better noise cancellation, and the method can be widely applied ton ultrasonic detecting.",

keywords = "Neural networks, Self-adaptive, Ultrasonic, Wavelet analysis",

author = "Yin, {Xi Peng} and Fan, {Yang Yu} and Duan, {Zhe Min} and Wei Cheng",

year = "2009",

doi = "10.1109/ICASID.2009.5276998",

language = "英语",

isbn = "9781424438839",

series = "2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009",

publisher = "IEEE Computer Society",

pages = "600--602",

booktitle = "2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009",

note = "2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009 ; Conference date: 20-08-2009 Through 22-08-2009",

}

Yin, XP, Fan, YY, Duan, ZM & Cheng, W 2009, Application of self-adaptive wavelet neural networks in ultrasonic detecting. in 2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009., 5276998, 2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009, IEEE Computer Society, pp. 600-602, 2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009, Hong Kong, China, 20/08/09. https://doi.org/10.1109/ICASID.2009.5276998

Application of self-adaptive wavelet neural networks in ultrasonic detecting. / Yin, Xi Peng; Fan, Yang Yu; Duan, Zhe Min et al.
2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009. IEEE Computer Society, 2009. p. 600-602 5276998 (2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Application of self-adaptive wavelet neural networks in ultrasonic detecting

AU - Yin, Xi Peng

AU - Fan, Yang Yu

AU - Duan, Zhe Min

AU - Cheng, Wei

PY - 2009

Y1 - 2009

N2 - It is important to remove the noise signal effectively in non-destructive testing. Using the wavelet and neural network algorithm, the author constructed self-adaptive wavelet neural networks in the ultrasonic testing. Better fitting signal is achieved by choosing Orthogonal Daubechies wavelet neuron and optimized scale parameter. The simulation results showed less distortion and better noise cancellation, and the method can be widely applied ton ultrasonic detecting.

AB - It is important to remove the noise signal effectively in non-destructive testing. Using the wavelet and neural network algorithm, the author constructed self-adaptive wavelet neural networks in the ultrasonic testing. Better fitting signal is achieved by choosing Orthogonal Daubechies wavelet neuron and optimized scale parameter. The simulation results showed less distortion and better noise cancellation, and the method can be widely applied ton ultrasonic detecting.

KW - Neural networks

KW - Self-adaptive

KW - Ultrasonic

KW - Wavelet analysis

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U2 - 10.1109/ICASID.2009.5276998

DO - 10.1109/ICASID.2009.5276998

M3 - 会议稿件

AN - SCOPUS:72549093076

SN - 9781424438839

T3 - 2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009

SP - 600

EP - 602

BT - 2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009

PB - IEEE Computer Society

T2 - 2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009

Y2 - 20 August 2009 through 22 August 2009

ER -

Yin XP, Fan YY, Duan ZM, Cheng W. Application of self-adaptive wavelet neural networks in ultrasonic detecting. In 2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009. IEEE Computer Society. 2009. p. 600-602. 5276998. (2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, ASID 2009). doi: 10.1109/ICASID.2009.5276998

Application of self-adaptive wavelet neural networks in ultrasonic detecting

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