• Smart Structures and Systems
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• 제4권5호
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• pp.565-582
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• 2008

This paper presents a feasibility study of flexible piezoelectric paint for use in wide-band low-profile surface-mount or embeddable ultrasonic sensor for in situ structural health monitoring. Piezoelectric paint is a piezoelectric composite with 0-3 connectivity. Because of its ease of application, piezoelectric paint can be readily fabricated into sensing element with complex pattern. This study examines the characteristics of piezoelectric paint in acoustic emission signal and ultrasonic guided wave sensing. A series of ultrasonic tests including pitch catch and pencil break tests were performed to validate the ultrasonic wave sensing capability of piezoelectric paint. The results of finite element simulation of ultrasonic wave propagation, and acoustic emission generated by a pencil lead break on an aluminum plate are also presented in this paper along with corresponding experimental data. Based on the preliminary experimental results, the piezoelectric paint appears to offer a promising sensing material for use in real-time monitoring of crack initiation and propagation in both metallic and composite structures.

• 한국정밀공학회지
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• 제21권8호
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• pp.57-64
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• 2004

This study deals with the prediction of defect location which can be occurred in structure. The existing methods was very difficult to be applied to predict it, because of complex numerical formula. The triangulation method proposed in this study can predict the source location easily with small amount of data. The arrival time of wave can be directly converted into the distance between sensors. For this purpose, the propagation velocity was measured by Rayleigh wave, and the propagation behavior was analyzed. The welded workpiece is adapted to investigate for the consideration of jointed part in structure, The propagation velocity of signal was measured in welded workpiece and the revised algorithm of source location was proposed.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2003년도 춘계학술대회 논문집
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• pp.293-298
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• 2003

This study deals with the source location method of defect which can be occurred in structure. The existing methods was very difficult to be applied to predict it because of using very complex numerical formula. The triangulation method which was proposed in his study can predict the source location predicted easily with small amount of data. Wave arrival time data can be directly converted into source-sensor distance is known. For this purpose, the propagation velocity was measured by Rayleigh wave, and the propagation behavior was analyzed. For the consideration of jointed part in structure, the source location method was applied to the welded workpiece. The signal propagation velocity was measured in welding part for the purpose of application to the part and the revised algorithm of source location was proposed.

• 융합신호처리학회논문지
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• 제9권1호
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• pp.10-17
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• 2008

본 논문은 설비진단에 있어 크랙 성장부터 누설에 이르기까지 결함으로 발생하는 AE 신호를 통하여 위치를 표정하여 진단 시스템의 오차를 줄이는 것이다. wavelet을 이용한 잡음 제거로서 위치표정의 개선을 제안하였고, 실험을 위한 신호원으로 알루미늄 평판에 샤프심 파단음을, 공기압축기의 누설음을 사용하였다. 신호원에 대하여 웨이블릿 Shrinkage방법과 Soft Threshold을 이용한 신호의 잡음제거 및 시간 도달차 법과 물성치를 적용한 속도 값으로 시뮬레이션을 통하여 위치표정 결과를 확인하였다. 그 결과 웨이블릿 변환을 이용한 잡음제거는 크랙실험의 경우 평균거리 10.46mm이하로 30% 이상과 누설 실험의 경우 평균필터에 비해 2%의 개선된 위치표정을 확인하였다.

• Smart Structures and Systems
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• 제18권5호
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• pp.1063-1085
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• 2016

Taking advantage of the high sensitivity and long-distance detection capability of acoustic emission (AE) technique, this paper focuses on the crack detection in rail head, which is one of the most vulnerable parts of rail track. The AE source location and noise cancellation were studied on the basis of practical rail profile, material and operational noise. In order to simulate the actual AE events of rail head cracks, field tests were carried out to acquire the AE waves induced by pencil lead break (PLB) and operational noise of the railway system. Wavelet transform (WT) was first utilized to investigate the time-frequency characteristics and dispersion phenomena of AE waves. Here, the optimal mother wavelet was selected by minimizing the Shannon entropy of wavelet coefficients. Regarding the obvious dispersion of AE waves propagating along the rail head and the high operational noise, the wavelet transform-based modal analysis location (WTMAL) method was then proposed to locate the AE sources (i.e. simulated cracks) respectively for the PLB-induced AE signals with and without operational noise. For those AE signals inundated with operational noise, the Hilbert transform (HT)-based noise cancellation method was employed to improve the signal-to-noise ratio (SNR). Finally, the experimental results demonstrated that the proposed crack detection strategy could locate PLB-simulated AE sources effectively in the rail head even at high operational noise level, highlighting its potential for field application.

• 터널과지하공간
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• 제21권5호
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• pp.349-358
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• 2011

본 연구에서는 방사성폐기물처분장에서 발생하는 탄성파와 같이 낮은 신호 대 잡음비로 인하여 P파의 식별이 어려운 신호에 적합한 P파 도달시간 결정 알고리즘에 대한 연구를 수행하였다. 사용된 알고리즘은 임계 전압법, Akaike Information Criterion(AIC), Two step AIC, Hinkley criterion이며 샤프심 압절법에 의하여 생성된 탄성파 신호에 white noise를 적용하여 신호 대 잡음비를 낮추었다. 실험결과 임계전압, AIC, Hinkley criterion 알고리즘의 경우 배경잡음 수준이 증가함에 따라 P파 도달시간의 정확성은 감소하였으나 Two step AIC 알고리즘의 경우 1차적으로 결정된 P파의 도달시간 주변의 신호를 중심으로 특성함수와 AIC 알고리즘을 반복적으로 적용함에 따라 배경잡음 수준에 관계없이 정확한 결과를 나타냈다.