• 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.

• 한국생산제조학회지
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• 제8권4호
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• pp.61-67
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• 1999

In turning the chip may be produced in the form of continuous chip or discontinuous one. Continuous chips produced at high speed machining may hit the newly cut workpiece surface and adversely affect the appearance of the surface finish and may interfere with tool and sometimes induce tool fracture. In this study relationship between AE signal and chip form was experimentally investigated, The experimental results show that types of chip form are possible to be classified from the AE signal using fuzzy logic.

• 한국생산제조학회지
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• 제6권2호
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• pp.112-118
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• 1997

Characteristics of AE(Acoustic Emission) signal is related to cutting conditions, tool materials, and tool geometry in metal cutting. Relation between AE signal and tool wear was investigated experimentally. Experiment is carried out by interrupted cutting for SCM420 workpiece with TiN coating tool on HSS material. AE RMS voltage and count per event were increased according to tool wear. The major results are as follows : 1) AE RMS value is nearly constant as cutting speed changes, but is rapidly increase as feed rate increases. 2) AE RMS value and Count per Event increase as tool wear increases. 3) It is more effective to monitor tool wear by Incremental rate of AE RMS value than by Incremental rate of count per event.

• 대한기계학회논문집A
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• 제25권9호
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• pp.1391-1399
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• 2001

The AE measurement is one of the most convenient methods for detecting contacts between the slider and the disk. The AE method has been widely used in the investigation of the tribology of sliding interfaces due to its convenience. We examined the relationship between the AE signal and the flying height of a slider. We investigated the influence of the disk linear velocity on the AE rms signal by using the AE measurement system. The experiment also gives the relationship between the take-off velocity and the disk surface conditions. To investigate the behavior of the slider further, the variances of the AE signals are analyzed. The experimental results indicate that the increase in the magnitude of the AE rms signal does not necessarily mean the slider/disk contacts.

• 비파괴검사학회지
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• 제26권4호
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• pp.220-230
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• 2006

3점 굽힘 하중을 받는 단일 PET 및 평판형 압전 복합재료 작동기(PCA)의 파괴거동을 음향방출(AE) 법을 이용하여 살펴보았다. 단일 PET의 경우 최대 굽힘하중에서 발생한 AE신호는 고진폭 및 긴 유지시간을 갖는 특징을 보였으며 FFT에 의한 지배 주파수 대역을 확인한 결과 $100{\sim}230kHz$의 비교적 저주파수 대역이었다. PCA의 경우, stage 1에서 발생한 80dB이상의 고진폭 및 $170{\sim}223kHz$의 저 지배 주파수 대역을 갖는 신호는 PZT층에서의 취성파괴 및 PZT층과 인근 섬유층 사이의 층간분리에 의한 것으로 추정되었다. 상기의 AE거동 해석결과와 광학현미경 및 주사전자현미경에 의한 손상관찰에 근거하여 비대칭으로 적층된 PCA의 파괴거동과 관련한 AE특성을 규명하였다.

• 비파괴검사학회지
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• 제23권3호
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• pp.220-226
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• 2003

본 연구에서는 선박 용접구조물의 피로균열 발생 여부와 균열의 진전 상황을 실시간으로 모니터링하기 위한 기초 연구단계로서 선박의 전형적인 용접형태인 필렛용접부(fillet welded joint)의 피로시험에 대한 음향방출(Acoustic Emission, AE)기법의 적용성을 검토하였다. 필렛용접부의 피로시험에서 균열의 발생과 진전, 위치를 검출하기 위하여 AE 카운트(ring down count)와 위치표정(source location)등을 이용하였다. 시험결과 용접 토우(toe)부의 표면균열(surface crack)이 관통균열(through crack)로 발전하기 전까지의 AE 신호는 비교적 미약하게 나타났으나 균열의 발생시점과 위치를 카운트-위치표정으로 어느 정도 추정 가능함을 확인하였다. 표면균열이 브라켓의 두께방향으로 관통한 시점에서는 AE 카운트의 양이 급격히 증가하였으며 카운트-위치표정, 이벤트(event)-위치표정으로 균열의 위치와 발생시점을 명확하게 확인할 수 있었다. 또한 AE 위치표정과 클러스터(cluster) 기능을 이용하여 균열발생 위치 이외의 영역에서 검출된 신호는 잡음에 기인한 것으로 추정할 수 있었다.

• 비파괴검사학회지
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• 제15권1호
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• pp.277-290
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• 1995

본 연구는 $[0^{\circ}/90^{\circ}]_{2S}$와 $[0^{\circ}\;_2/90^{\circ}\;_2]_S$의 2종류 탄소섬유복합재료에 대한 인장 및 파괴인성 시험시의 파괴거동과 음향방출 특성을 해석하고 성형시의 성형압력과 인장강도 및 파괴인성 간의 상관성을 알아내기 위하여 수행되었다. AE신호는 음향방출장비를 이용하여 성형과정, 인장 및 파괴인성 시험중에 각각 검출하였다. 인장강도는 성형가압 단계수가 적을수록, 그리고 $[0^{\circ}/90^{\circ}]_{2S}$ 시험편 쪽이 $[0^{\circ}\;_2/90^{\circ}\;_2]_S$ 시험편보다 높은 강도를 나타내었다. 파괴인성은 동일한 온도영역에서 거의 같은 값을 나타내나 시험온도가 높아질수록 점차 낮아짐을 알 수 있었다. 한편 인장 및 파괴인성 시험시의 파괴거동과 AE신호간의 상관성을 조사하기 위하여 AE데이터의 AE변수들에 대한 후 신호처리(post processing)와 광학현미경 및 주사형 전자현미경 관찰이 각각 수행되었다.

• 한국정밀공학회지
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• 제12권3호
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• pp.5-14
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• 1995

In recent years, the automization of cutting machine tools has been developed very fast. Hance, the in-process detection of cutting condition is very important for automatic manufacturing system in factory. Acoustic Emission(AE) has been widely used in monitoring the cutting conditions, because of high sensitivity of AE signal and low cost of AE equipment. This experimental study deals with the relations between AE signal, cutting force charcteristics and tool wear in the machining of SUS304. Face milling operation is used for the analysis between tool wear and AE signal.

• 한국초전도ㆍ저온공학회논문지
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• 제1권2호
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• pp.8-14
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• 1999

In this study, acoustic emission(AE) technique has been applied to detecting quench which is one of the serious peoblems to assure the integrity of superconducting coil at cryogenic temperature. The characteristics of AE parameters have been analyzed by correlating with the number of quenches, whinding tension of superconducting coil and charge rate of transport current. The quench localization was also performed using AE signals and there was also good correlation between quench current and AE parameters such as AE energy and AE events. In this study, it was confirmed that AE signals were mainly due to the conductor motion which caused by premature quenching. It was also found that optimized winding tension at superconducting coil was needed to prevent quench caused by conductor motion.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2011년도 춘계학술대회 논문집
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• pp.582-587
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• 2011

Acoustic Emission(AE) is widely used for early detection of faults for rotating machinery in these days because of its high sensitivity. AE signal has to need for transferring to low frequency range for the spectrum analysis included the fault mechanism. In transferring process, we lose a lot of fault information caused by unusable signal processing method. Discrete Wavelet Transform(DWT) is a method of signal processing for AE signatures, but the pattern of its mother function is not optimized with AE signals. So, we can lose the fault information when we want to use the DWT for AE signal. Therefore, in this paper, we will propose a novel pattern for DWT mother function, which is optimized with AE signals. And it will be applied to compare the results of DWT by daubechie and novel pattern.