• Title/Summary/Keyword: AE Source Location

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An Algorithm for Leak Locating using Coupled Vibration of Pipe-Fluid (배관-유체 연성진동을 이용한 누수지점 탐지 알고리듬 개발 연구)

  • Lee, Young-Sup;Yoon, Dong-Jin
    • Proceedings of the KSME Conference
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    • 2004.04a
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    • pp.798-803
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    • 2004
  • Leak noise is a good source to identify the exact location of a leak point of underground water pipelines. Water leak generates broadband sound from a leak location and this sound propagation due to leak in water pipelines is not a non-dispersive wave any more because of the surrounding pipes and soil. However, the necessity of long-range detection of this leak location makes to identify low-frequency acoustic waves rather than high frequency ones. Acoustic wave propagation coupled with surrounding boundaries including cast iron pipes is theoretically analyzed and the wave velocity was confirmed with experiment. The leak locations were identified both by the acoustic emission (AE) method and the cross-correlation method. In a short-range distance, both the AE method and cross-correlation method are effective to detect leak position. However, the detection for a long-range distance required a lower frequency range accelerometers only because higher frequency waves were attenuated very quickly with the increase of propagation paths. Two algorithms for the cross-correlation function were suggested, and a long-range detection has been achieved at real underground water pipelines longer than 300m.

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Effects of Wave Attenuation on the Acoustic Emission Amplitude Distribution of Injection-Molded Fiber/Plastic Composites (섬유/플라스틱 사출성형 복합재료의 음향방출 진폭분포에 대한 감쇠효과)

  • Choi, N.S.;Takahashi, Kiyoshi
    • Journal of the Korean Society for Nondestructive Testing
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    • v.18 no.1
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    • pp.1-9
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    • 1998
  • The attenuation of acoustic emission (AE) waves was evaluated for injection-molded short-fiber-reinforced thermoplastic composites employing simulated AE waves. Values of attenuation coefficient (${\alpha}$) decreased more with increasing fiber volume fraction ($V_f$) than that expected from a simple linear relation between ${\alpha}$ and $V_f$. The effect of wave attenuation was taken into account in a quantitative analysis of the AE peak amplitude distribution which was obtained from each zone partitioned in a specimen gage portion. The amplitude distribution compensated for the measured attenuation loss was exhibited almost similar in every zone of the specimen. Consequently, it was, shown that the AE amplitudes obtained from fiber/plastic composites were considerably affected by the attenuation.

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A Study on AE Signal Analysis of Composite Materials Using Matrix Piezo Electric Sensor (매트릭스형 피에조센서를 이용한 복합재료 AE신호 분석에 관한 연구)

  • Yu, Yeun-Ho;Choi, Jin-Ho;Kweon, Jin-Hwe
    • Journal of the Korean Society for Nondestructive Testing
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    • v.27 no.1
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    • pp.1-7
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    • 2007
  • As fiber reinforced composite materials are widely used in aircraft, space structures and robot arms, the study on non-destructive testing methods has become an important research area for improving their reliability and safety. AE (acoustic emission) can evaluate the defects by detecting the emitting strain energy when elastic waves are generated by the initiation and growth of crack, plastic deformation, fiber breakage, matrix cleavage, or delamination. In the paper, AE signals generated under uniaxial tension were measured and analyzed using the $8{\times}8$ matrix piezo electric sensor. The electronic circuit to control the transmitting distance of AE signals was designed and constructed. The optical data storage system was also designed to store the AE signal of 64channels using LED (light emitting diode) elements. From the tests, it was shown that the source location and propagation path of AE signals in composite materials could be detected effectively by the $8{\times}8$ matrix piezo electric sensor.

Determination of Source Location using Neural Network in Rock Materials (신경 회로망에 의한 파괴원 위치 결정)

  • 이상은;신재근;임한욱
    • Proceedings of the Korean Society for Rock Mechanics Conference
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    • 1999.03a
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    • pp.33-40
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    • 1999
  • 암석 및 암반을 대상으로 AE 법에 의해 파괴원 위치를 결정하는 경우 복잡한 수학적 알고리즘을 필요로 하며, 다수의 연구자에 의해 수많은 방법들이 개발되어 왔으나 각 해법의 특성에 따라 부분적인 오차를 보이는 것으로 보고되어 있다. 이와 같이 재래식 계산법에 의한 파괴원 위치의 결정은 오차를 감소시키기 위해 다양한 알고리즘이 적용되어야 한다. 이를 위해 도달시간차 및 재료 내부의 속도장을 평가하는 기술이 요구된다. 이것은 암석의 표면에서 발진기와 수신기 사이의 변화로부터 추적가능하며 복잡한 수학적인 알고리즘을 필요로 한다. (중략)

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Detection and Sizing of Fatigue Cracks in Thin Aluminum Panel with Rivet Holes (리벳구멍을 가진 알루미늄 패널에서 피로균열의 탐지와 균열길이 측정)

  • Kim, Jung-Chan;Kwon, Oh-Yang
    • Journal of the Korean Society for Nondestructive Testing
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    • v.27 no.1
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    • pp.38-47
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    • 2007
  • The initiation of fatigue cracks in a simulated aircraft structure with a series of rivet holes was detected by acoustic emission(AE), then the crack length was determined by surface acoustic wave(SAW) technique. With the initiation and growth of fatigue cracks, AE events increased intermittently to form a stepwise incremental curve of cumulative AE events whereas the crack length increased more or less monotonically. With the SAW technique employed, the crack sizing for 13 different cracks including some short cracks was performed. With the reference to the measurement by traveling microscope, cracks in the range of $1{\sim}8mm$ long were reliably sized by the SAW technique. Although it was impossible to size the short fatigue cracks in the range shorter than 1 mm, the SAW technique still appeared practically useful for a range of crack lengths often found in aircraft structures.

A Study on the Aging Characteristics of Power Capacitors using Electrical Methods (전기적 방법을 이용한 전력용 콘덴서 열화특성 연구)

  • 김은식;김영욱;김종서;윤철섭;박대희
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1998.11a
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    • pp.199-202
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    • 1998
  • Power capacitors are highly reliable equipment due to their completely enclosed configuration. Aging diagnosis system using partial discharge(PD) and acoustic emission(AE) is being highlighted as a research area for degradation of power capacitors. Their dielectric strength can be however reduced due to some stresses such as over-voltage or thermal degradation of the insulation material during their long period of operation. In this paper, it has been developed to express the AE of the EVENT(average amplitude) and HIT(pulse count) according to the source location. And real time measurement of PD signals for aging diagnosis of power capacitors.

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ACOUSTIC EMISSION TESTING OF SPHERICAL PRESSURE VESSEL DURING HYDROTESTS (수압시험중(水壓試驗中)의 구행압력용기(球型壓力容器)에 대(對)한 AE검사(檢査))

  • Chang, Hong-Keun;Lee, Joo-Suk;Cho, Kyung-Shik
    • Journal of the Korean Society for Nondestructive Testing
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    • v.3 no.1
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    • pp.12-18
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    • 1983
  • This paper describes the procedures and results of an acoustic emission testing performed during hydrotest of spherical pressure vessel for propane storage. A computer based multi-channel real time monitoring and source location analysis AET-4900 system was used for AE testing. The vessel was extremely quiet throughout the entire test run and especially 6 to $14.5kg/cm^{2}$, it is normal operating pressure range. After exceeding $14.5kg/cm^{2}$, one of the 20 sections showed the most event in any one section 11 total but there were scattered at different locations. In order to confirm the events seen in horizontal weld line of that section, proof testing was performed with ultrasonics and radiography.

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Damage Detection Method of Wind Turbine Blade Using Acoustic Emission Signal Mapping (음향방출신호 맵핑을 이용한 풍력 블레이드 손상 검출 기법)

  • Han, Byeong-Hee;Yoon, Dong-Jin
    • Journal of the Korean Society for Nondestructive Testing
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    • v.31 no.1
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    • pp.68-76
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    • 2011
  • Acoustic emission(AE) has emerged as a powerful nondestructive tool to detect any further growth or expansion of preexisting defects or to characterize failure mechanisms. Recently, this kind of technique, that is an in-situ monitoring of inside damages of materials or structures, becomes increasingly popular for monitoring the integrity of large structures like a huge wind turbine blade. Therefore, it is required to find a symptom of damage propagation before catastrophic failure through a continuous monitoring. In this study, a new damage location method has been proposed by using signal mapping algorithm, and an experimental verification is conducted by using small wind turbine blade specimen; a part of 750 kW real blade. The results show that this new signal mapping method has high advantages such as a flexibility for sensor location, improved accuracy, high detectability. The newly proposed method was compared with traditional AE source location method based on arrival time difference.

A Study on Microscopic Damage Behavior of Carbon Fiber Sheet Reinforced Concrete using Acoustic Emission Technique (음향방출 기법을 이용한 탄소섬유시트강화 콘크리트의 미시적 손상 거동에 관한 연구)

  • 이진경;이준현;정성륜
    • Composites Research
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    • v.12 no.4
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    • pp.62-70
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    • 1999
  • It was well recognized that damages associated mainly with the aging of civil infrastructrues were one of very serious problems for assurance of safety and reliability. In recent, carbon fiber sheet(CFS) has been widely used for reinforcement and rehabitation of damaged concrete beam. However, the fundamental mechanism of load transfer and its load-resistant for carbon fiber sheet reinforced concrete are not fully understood. In this study, three point bend test has been carried out to understand the damage progress and micro-failure mechanism of CFS reinforced concretes. For these purposes, four kinds of specimens are used, that is, concrete, respectively. Acoustic Emission(AE) technique was used to evaluate the characteristics of damage progress and failure mechanism of specimens. In addititon, two-dimensional AE source location was also performed to monitor crack initiation and propagation processes for four types of these specimens.

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Initial development of wireless acoustic emission sensor Motes for civil infrastructure state monitoring

  • Grosse, Christian U.;Glaser, Steven D.;Kruger, Markus
    • Smart Structures and Systems
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    • v.6 no.3
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    • pp.197-209
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    • 2010
  • The structural state of a bridge is currently examined by visual inspection or by wired sensor techniques, which are relatively expensive, vulnerable to inclement conditions, and time consuming to undertake. In contrast, wireless sensor networks are easy to deploy and flexible in application so that the network can adjust to the individual structure. Different sensing techniques have been used with such networks, but the acoustic emission technique has rarely been utilized. With the use of acoustic emission (AE) techniques it is possible to detect internal structural damage, from cracks propagating during the routine use of a structure, e.g. breakage of prestressing wires. To date, AE data analysis techniques are not appropriate for the requirements of a wireless network due to the very exact time synchronization needed between multiple sensors, and power consumption issues. To unleash the power of the acoustic emission technique on large, extended structures, recording and local analysis techniques need better algorithms to handle and reduce the immense amount of data generated. Preliminary results from utilizing a new concept called Acoustic Emission Array Processing to locally reduce data to information are presented. Results show that the azimuthal location of a seismic source can be successfully identified, using an array of six to eight poor-quality AE sensors arranged in a circular array approximately 200 mm in diameter. AE beamforming only requires very fine time synchronization of the sensors within a single array, relative timing between sensors of $1{\mu}s$ can easily be performed by a single Mote servicing the array. The method concentrates the essence of six to eight extended waveforms into a single value to be sent through the wireless network, resulting in power savings by avoiding extended radio transmission.