Impact Acoustic Non-destructive Evaluation in Noisy Environment Based on Wavelet Packet Decomposition

Z. D. JIANG; K. P. LIU; B. L. LUK; F. TONG; S. K. TSO

Impact Acoustic Non-destructive Evaluation in Noisy Environment Based on Wavelet Packet Decomposition

Z. D. JIANG, K. P. LIU, B. L. LUK, F. TONG, S. K. TSO

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Impact acoustic is a feasible method of non-detective evaluation in many applications; however, the audible noise influents the power spectrum density (PSD) distribution of an acquired signal seriously. This paper proposes an evaluation method based on wavelet packet decomposition (WPD). Using WPD, the PSD of signal is allocated into certain component fields. Investigation on the component PSD indicates it can reveal the bonding quality even in a noisy environment. An artificial neural network (ANN) is chosen as a classifier to simplify the evaluation system and makes it more effective and efficient. The performance of the approach is evaluated by some physical experiments and that will be reported and discussed. It is verified that this WPD approach is feasible to be applied to do impact acoustic in a noisy environment.

Original language	English
Title of host publication	PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND MECHANICS 2007
Editors	R. C. BATRA, L. F. QIAN, X. N. LI, K. D. ZHOU, H. DRESIG, Y. MORITA, E. CHEUNG
Publisher	SCIENCE PRESS USA INC
Pages	269-273
ISBN (Print)	1933100214
Publication status	Published - Nov 2007
Event	International Conference on Mechanical Engineering and Mechanics (ICMEM2007) - Wuxi, China Duration: 5 Nov 2007 → 7 Nov 2007

Conference

Conference	International Conference on Mechanical Engineering and Mechanics (ICMEM2007)
Country/Territory	China
City	Wuxi
Period	5/11/07 → 7/11/07

Research Keywords

impact acoustic
de-noising
wavelet packet
NDE

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JIANG, Z. D., LIU, K. P., LUK, B. L., TONG, F., & TSO, S. K. (2007). Impact Acoustic Non-destructive Evaluation in Noisy Environment Based on Wavelet Packet Decomposition. In R. C. BATRA, L. F. QIAN, X. N. LI, K. D. ZHOU, H. DRESIG, Y. MORITA, & E. CHEUNG (Eds.), PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND MECHANICS 2007 (pp. 269-273). SCIENCE PRESS USA INC.

JIANG, Z. D. ; LIU, K. P. ; LUK, B. L. et al. / Impact Acoustic Non-destructive Evaluation in Noisy Environment Based on Wavelet Packet Decomposition. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND MECHANICS 2007. editor / R. C. BATRA ; L. F. QIAN ; X. N. LI ; K. D. ZHOU ; H. DRESIG ; Y. MORITA ; E. CHEUNG. SCIENCE PRESS USA INC, 2007. pp. 269-273

@inproceedings{c1d75e3f5db843549a55bffb6fc4a32e,

title = "Impact Acoustic Non-destructive Evaluation in Noisy Environment Based on Wavelet Packet Decomposition",

abstract = "Impact acoustic is a feasible method of non-detective evaluation in many applications; however, the audible noise influents the power spectrum density (PSD) distribution of an acquired signal seriously. This paper proposes an evaluation method based on wavelet packet decomposition (WPD). Using WPD, the PSD of signal is allocated into certain component fields. Investigation on the component PSD indicates it can reveal the bonding quality even in a noisy environment. An artificial neural network (ANN) is chosen as a classifier to simplify the evaluation system and makes it more effective and efficient. The performance of the approach is evaluated by some physical experiments and that will be reported and discussed. It is verified that this WPD approach is feasible to be applied to do impact acoustic in a noisy environment.",

keywords = "impact acoustic, de-noising, wavelet packet, NDE",

author = "JIANG, {Z. D.} and LIU, {K. P.} and LUK, {B. L.} and F. TONG and TSO, {S. K.}",

year = "2007",

month = nov,

language = "English",

isbn = "1933100214",

pages = "269--273",

editor = "BATRA, {R. C.} and QIAN, {L. F.} and LI, {X. N.} and ZHOU, {K. D.} and H. DRESIG and Y. MORITA and E. CHEUNG",

booktitle = "PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND MECHANICS 2007",

publisher = "SCIENCE PRESS USA INC",

note = "International Conference on Mechanical Engineering and Mechanics (ICMEM2007) ; Conference date: 05-11-2007 Through 07-11-2007",

}

JIANG, ZD, LIU, KP, LUK, BL, TONG, F & TSO, SK 2007, Impact Acoustic Non-destructive Evaluation in Noisy Environment Based on Wavelet Packet Decomposition. in RC BATRA, LF QIAN, XN LI, KD ZHOU, H DRESIG, Y MORITA & E CHEUNG (eds), PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND MECHANICS 2007. SCIENCE PRESS USA INC, pp. 269-273, International Conference on Mechanical Engineering and Mechanics (ICMEM2007), Wuxi, China, 5/11/07.

Impact Acoustic Non-destructive Evaluation in Noisy Environment Based on Wavelet Packet Decomposition. / JIANG, Z. D.; LIU, K. P.; LUK, B. L. et al.
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND MECHANICS 2007. ed. / R. C. BATRA; L. F. QIAN; X. N. LI; K. D. ZHOU; H. DRESIG; Y. MORITA; E. CHEUNG. SCIENCE PRESS USA INC, 2007. p. 269-273.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Impact Acoustic Non-destructive Evaluation in Noisy Environment Based on Wavelet Packet Decomposition

AU - JIANG, Z. D.

AU - LIU, K. P.

AU - LUK, B. L.

AU - TONG, F.

AU - TSO, S. K.

PY - 2007/11

Y1 - 2007/11

N2 - Impact acoustic is a feasible method of non-detective evaluation in many applications; however, the audible noise influents the power spectrum density (PSD) distribution of an acquired signal seriously. This paper proposes an evaluation method based on wavelet packet decomposition (WPD). Using WPD, the PSD of signal is allocated into certain component fields. Investigation on the component PSD indicates it can reveal the bonding quality even in a noisy environment. An artificial neural network (ANN) is chosen as a classifier to simplify the evaluation system and makes it more effective and efficient. The performance of the approach is evaluated by some physical experiments and that will be reported and discussed. It is verified that this WPD approach is feasible to be applied to do impact acoustic in a noisy environment.

AB - Impact acoustic is a feasible method of non-detective evaluation in many applications; however, the audible noise influents the power spectrum density (PSD) distribution of an acquired signal seriously. This paper proposes an evaluation method based on wavelet packet decomposition (WPD). Using WPD, the PSD of signal is allocated into certain component fields. Investigation on the component PSD indicates it can reveal the bonding quality even in a noisy environment. An artificial neural network (ANN) is chosen as a classifier to simplify the evaluation system and makes it more effective and efficient. The performance of the approach is evaluated by some physical experiments and that will be reported and discussed. It is verified that this WPD approach is feasible to be applied to do impact acoustic in a noisy environment.

KW - impact acoustic

KW - de-noising

KW - wavelet packet

KW - NDE

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 1933100214

SP - 269

EP - 273

BT - PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND MECHANICS 2007

A2 - BATRA, R. C.

A2 - QIAN, L. F.

A2 - LI, X. N.

A2 - ZHOU, K. D.

A2 - DRESIG, H.

A2 - MORITA, Y.

A2 - CHEUNG, E.

PB - SCIENCE PRESS USA INC

T2 - International Conference on Mechanical Engineering and Mechanics (ICMEM2007)

Y2 - 5 November 2007 through 7 November 2007

ER -

Impact Acoustic Non-destructive Evaluation in Noisy Environment Based on Wavelet Packet Decomposition

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Research Keywords

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