• 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.

• 지질공학
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• 제6권3호
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• pp.131-136
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• 1996

세립화강암 시료에 개별 보정된 6개의 탐촉자를 부착하고 연필심 파괴로 급재하하여 AE/MA파를 발신 시키면서 고주파인 AE/MA파의 감쇄특성을 연구하였다. AE/MA파의 강도는 거리뿐만 아니라 발신원과 수신점의 상대적인 방위에 의하여 결정되며 Charcoal 세립화강암의 감쇄상수는 1.058이다. 이 상수는 AE/MA파으 주어진 경로에 대하여서 발신원과 수신점의 상대적인 방위에 무관하게 적용 가능한 것으로 평가된다.

• 한국멀티미디어학회논문지
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• 제9권12호
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• pp.1572-1579
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• 2006

An usual acoustic emission(AE) event has two widely characterized parameters in time domain, peak amplitude and event duration. But noise in AE measuring may disturb the signals with its parameters and aggrandize the signal incertitude. Experiment activity of detection of the nick inside of porcelain with AE was made and study on AE signal processing with statistic be presented in this paper in order to pick-up information expected from the signal with noise. Effort is concentrated on developing a novel arithmetic to improve extraction of the characteristic from stochastic signal and to enhance the voracity of detection. The main purpose discussed in this paper is to treat with signals on amplitudes with statistic mutuality and power density spectrum in frequency domain, and farther more to select samples for neural networks training by means of least-squares algorithm between real measuring signal and deterministic signals under laboratory condition. By seeking optimization with the algorithm, the parameters representing characteristic of the porcelain object are selected, while the stochastic interfere be weakened, then study for detection on neural networks is developed based on processing above.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 1999년도 추계학술대회 논문집 - 한국공작기계학회
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• pp.560-564
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• 1999

Burr sensing for burr size measurement and deburring process control is one of the essential elements in an automated deburring procedure. This paper presents the implementation of capacitance sensing and acoustic emission (AE) to deburring. The first application is the "on-line" measurement of burrs using a capacitance sensor. A non-contact capacitance gauging sensor is attached to an ultra precision milling machine which was used as a positioning system. The setup is used to measure burr profiles along machined workpiece edges. The proposed scheme is shown to be accurate, easy to setup, and with minor modifications, readily applicable to automatic deburring processes. As the second example, AE signals were sampled and analyzed for the sensor feedback of a precision deburring process - laser deburring -. The results, such as the sensitivity of AE signals to burr shapes and edge detection capability show a clear correlation between physical process parameters and the AE signals. A subsequent control strategy for deburring automation is also briefly discussed.

• 한국정밀공학회지
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• 제16권5호통권98호
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• pp.186-193
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• 1999

Sensor feedback for process control is one of the essential elements is an automated deburring procedure. This paper presents the implementation of acoustic emission (AE), which has been developed as a feedback sensing technique for precision (mechanical) deburring, in a precision laser deburring process. AE signals were sampled for laser machining/deburring under various experimental conditions and analyzed using several signal-processing methods including AErms and spectral analysis. The results, such as the sensitivity of AE signals for different laser cutting depths, edge detection capability and the frequency analysis show a clear correlation between physical process parameters and the AE signals. A subsequent control strategy for deburring automation is also briefly discussed.

• 한국정밀공학회지
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• 제17권6호
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• pp.76-82
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• 2000

This paper describes the machining characteristics of cylindrical plunge grinding. The study investigates the process using the current signals of a spindle motor through a hall sensor. Grinding experiments were conducted under various conditions such as wheel speeds, workpiece speeds and infeed rates with a conventional vitrified bonded wheel. Analyzing the current signal of the spindle motor, a relationship between current signals and the metal removal rate in terms of the in(red rate is induced. It was also shown that a hall sensor has similar capabilities in evaluation of grinding behavior compared to the AE signals, which are useful far monitoring the grinding process.

• 비파괴검사학회지
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• 제10권2호
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• pp.23-31
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• 1990

Acoustic Emission(AE) signals obtained during fracture toughness test and fatigue test for nuclear pressure vessel material(SA 508 cl.3) and artificial AE signals from pencil break and ultrasonic pulser were classified using pattern recognition methods. Three different classifiers ; namely Minimum Distance Classifier, Linear Discriminant Classifier and Maximum Likelihood Classifier were used for pattern recognition. In this study, the performance of each classifier was compared. The discrimination of AE signals from cracking and crack surface rubbing was possible and the analysis for crack propagation was applicable by pattern recognition methods.

• 터널과지하공간
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• 제18권1호
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• pp.1-9
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• 2008

미소파괴음(Acoustic Emission, AE)과 미소지진음(Microseismic event, MS event)은 응력의 재분배에 의한 균열이 생성될 때 나오는, 순간적인 에너지 방출에 의한 탄성파이다. AE/MS 이벤트는 일반적으로 대규모의 파괴에 앞서 그 발생이 현저해지는 경향이 있다. 이들은 계측영역의 주파수 대역에 따라 구분되며, MS이벤트에 비해 상대적으로 고주파의 AE 신호는 보다 미세한 파괴를 검출할 수 있다. 일반적으로 암반구조물은 파괴되기까지 작은 변형이 발생하여 종래에 사용되고 있는 변위계측으로는 그 전조현상을 포착하기 어렵기 때문에 국부적인 파괴나 갑작스러운 파괴에 대한 사전예측이 어려운 현실이다. 그러나 AE/MS 이벤트의 파형을 측정할 수 있는 경우 암반구조물의 파괴를 사전에 예측할 수 있으며, 초동이 명확한 경우 미세한 파괴위치지점과 함께 파괴메커니즘의 규명도 가능하다. 본 보고에서는 AE/MS 이벤트에 대한 기본이론과 함께 이들 활용한 계측기술 개발현황과 적용사례 등을 소개한다.

• 비파괴검사학회지
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• 제27권1호
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• pp.1-7
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• 2007

섬유강화 복합재료가 항공기, 우주 구조물, 로봇 팔 등에 널리 사용됨에 따라 복합재료의 신뢰도와 안전성을 향상시키기 위하여 이에 대한 비파괴검사법은 매우 중요한 연구분야로 대두되고 있다. AE법은 복합재의 균열, 섬유 또는 수지재의 파손, 층간분리 등의 발생 및 성장과정에서 발생되는 탄성파로 인한 스트레인 에너지를 검출하는 방법이다. 본 논문에서는 $8{\times}8$ 매트릭스형 피에조 센서를 사용하여 인장시험 하에서 발생되는 AE신호를 측정하고 분석하였다. 이를 위하여 AE신호의 전달거리를 제어할 수 있는 전용회로를 설계하고 제작하였다. 또한 64채널의 AE신호를 획득하기 위하여 발광다이오드를 사용한 광학 저장장치를 구성하였다. 실험결과, $8{\times}8$ 매트릭스형 피에조 센서를 이용하여 복합재료에서 발생되는 AE신호의 발생지점과 전파경로를 효과적으로 검출할 수 있었다.