PZT-induced lamb waves and pattern recognition for on-line health monitoring of jointed steel plates

Yongrae Roh; Dong Young Kim; Seung Han Yang; Seung Hee Park; Chung Bang Yun

doi:10.4028/0-87849-412-x.146

PZT-induced lamb waves and pattern recognition for on-line health monitoring of jointed steel plates

Yongrae Roh, Dong Young Kim, Seung Han Yang, Seung Hee Park, Chung Bang Yun

School of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

This paper presents a non-destructive evaluation (NDE) technique for detecting damages on a jointed steel plate on the basis of the time of flight and wavelet coefficient, obtained from wavelet transforms of Lamb wave signals. Probabilistic neural networks (PNNs) and support vector machines (SVMs) were applied for pattern classification. In this study, the applicability of the PNNs and SVMs was investigated for the damages in and out of the Lamb wave path. It has been found that the present methods are very efficient in detecting the damages simulated by the loose bolts on the jointed steel plate.

Original language	English
Pages (from-to)	146-151
Number of pages	6
Journal	Key Engineering Materials
Volume	321-323 I
DOIs	https://doi.org/10.4028/0-87849-412-x.146
State	Published - 2006

Keywords

Jointed Steel Plates
Lamb Waves
On-line Health Monitoring
Pattern Recognitions
Probabilistic Neural Networks
PZT
Support Vector Machines

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10.4028/0-87849-412-x.146

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title = "PZT-induced lamb waves and pattern recognition for on-line health monitoring of jointed steel plates",

abstract = "This paper presents a non-destructive evaluation (NDE) technique for detecting damages on a jointed steel plate on the basis of the time of flight and wavelet coefficient, obtained from wavelet transforms of Lamb wave signals. Probabilistic neural networks (PNNs) and support vector machines (SVMs) were applied for pattern classification. In this study, the applicability of the PNNs and SVMs was investigated for the damages in and out of the Lamb wave path. It has been found that the present methods are very efficient in detecting the damages simulated by the loose bolts on the jointed steel plate.",

keywords = "Jointed Steel Plates, Lamb Waves, On-line Health Monitoring, Pattern Recognitions, Probabilistic Neural Networks, PZT, Support Vector Machines",

author = "Yongrae Roh and Kim, {Dong Young} and Yang, {Seung Han} and Park, {Seung Hee} and Yun, {Chung Bang}",

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journal = "Key Engineering Materials",

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T1 - PZT-induced lamb waves and pattern recognition for on-line health monitoring of jointed steel plates

AU - Roh, Yongrae

AU - Kim, Dong Young

AU - Yang, Seung Han

AU - Park, Seung Hee

AU - Yun, Chung Bang

PY - 2006

Y1 - 2006

N2 - This paper presents a non-destructive evaluation (NDE) technique for detecting damages on a jointed steel plate on the basis of the time of flight and wavelet coefficient, obtained from wavelet transforms of Lamb wave signals. Probabilistic neural networks (PNNs) and support vector machines (SVMs) were applied for pattern classification. In this study, the applicability of the PNNs and SVMs was investigated for the damages in and out of the Lamb wave path. It has been found that the present methods are very efficient in detecting the damages simulated by the loose bolts on the jointed steel plate.

AB - This paper presents a non-destructive evaluation (NDE) technique for detecting damages on a jointed steel plate on the basis of the time of flight and wavelet coefficient, obtained from wavelet transforms of Lamb wave signals. Probabilistic neural networks (PNNs) and support vector machines (SVMs) were applied for pattern classification. In this study, the applicability of the PNNs and SVMs was investigated for the damages in and out of the Lamb wave path. It has been found that the present methods are very efficient in detecting the damages simulated by the loose bolts on the jointed steel plate.

KW - Jointed Steel Plates

KW - Lamb Waves

KW - On-line Health Monitoring

KW - Pattern Recognitions

KW - Probabilistic Neural Networks

KW - PZT

KW - Support Vector Machines

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SN - 1013-9826

VL - 321-323 I

SP - 146

EP - 151

JO - Key Engineering Materials

JF - Key Engineering Materials

ER -

PZT-induced lamb waves and pattern recognition for on-line health monitoring of jointed steel plates

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Keywords

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