• Title/Summary/Keyword: Acoustic Signal

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An Experimental Study on the Friction of CrN Coated Specimen using the Acoustic Emission Sensor (AE 센서를 이용한 CrN 코팅의 마찰특성에 관한 연구)

  • 조정우;이영제
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • 1999.06a
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    • pp.215-219
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    • 1999
  • One of the innovative physical methods that provide insight into the basic processes which determine friction and wear behavior of coated machine tools is acoustic emission (AE). In this study, an investigation of the relation between AE and friction signal produced during repeated sliding test is presented. The material of test specimens is CrN coated 0.2% plain carbon steel with 1 Um thickness. The obtained results demonstrate that AE signal is very related with friction, and AE signal is more sensitive than friction when CrN coated film come off the substrate.

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The decision of position of a partial discharge in power transformer by measurement of ultra sonic signal (초음파 신호측정에 의한 변압기내의 부분방전위치측정)

  • 문영재
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1992.06a
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    • pp.87-90
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    • 1992
  • Detecting acoustic emission (AE) provides an appropriate method to diagonize on-line transformers, since acoustic signal is not influenced by strong electric field. Then AE versus AE signal processing method is investigated. But this processing is difficult that decision of starting point of AE wave with acoustic noise. This problem is sloved by correlation which calculate time interval between two signals eactly. This paper presents a technique locating the eact position of the partial discharge (PD) in a power transformer by the correlation of the AE signals from two ultrasonic sensors. And PD position is displayed on monitor. Laboratory tests confirmed that the proposed method can be used for locating the PD in power transformer.

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Characteristics of Cracks under Vickers Indentation in Glass Using Acoustic Emission (음향방출을 이용한 유리의 비커스 압입 균열 특성)

  • Park, H.Y.;Lee, J.K.;Park, H.I.;Lee, B.W.
    • Journal of Power System Engineering
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    • v.16 no.1
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    • pp.72-77
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    • 2012
  • Acoustic emission (AE) is known to be sensitive to fracture process and so it was expected that AE data may propose as a means of monitoring the fracture information. The aim of this study is to analyze the characteristic of AE signal emitted from glass during Vickers indentation. To observe AE characteristics by surface effect, both glass and coating glass were studied. During Vickers indentation loading, AE signal resulted from penny-like crack is detected. During Vickers indentation unloading, AE signal resulted from both radial/median crack and lateral crack is detected. In case of indentation on glass, the emission energy(${\epsilon}$) is found to be approximately proportional to the fourth power of the crack length. In case of indentation on coating glass, the emission energy(${\epsilon}$) is approximately proportional to the crack length.

Signal Characteristics of Acoustic Emission from Welded Exhaust Flange for Fatigue Fracture Prediction (배기계 플랜지 용접부 피로파괴 예측을 위한 음향방출 신호 특성)

  • Son, Min-Young;Choi, Jung-Hwang;Kim, Chan-Mook
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2007.05a
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    • pp.905-908
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    • 2007
  • The purpose of this work is to obtain fundamental data about fatigue crack detection of the welded exhaust flange by using the AE method. The acoustic emission method as a nondestructive evaluation is one of high technical test for realtime monitoring in the dangerous industry fields. Signal analysis of both AE sensor and accelerometer for fatigue crack failure are presented in this paper.

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A study on the characteristics of PD patterns and acoustic signal for the particle states in GIS (GIS내 파티클 상태에 따른 방전패턴 및 초음파 신호 특성 연구)

  • Lee, Kon;Lee, Dong-Zoon;Lee, Jae-Gul;Ryu, Sung-Sic;Shin, Dong-Suk;Kwak, Hee-Ro
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 1999.11a
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    • pp.299-301
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    • 1999
  • This paper describes the characteristics of PD pattern and acoustic signal for the possible four states of particles in GIS. For each case of defect, the PD patterns and acoustic signals were measured and analyzed. As a result, the characteristics of the discharge patterns and ultrasonic signals depending for each defect state could be distinguished. Using the discharge patterns and ultrasonic signal waves, the defects in the GIS and the states of the particles can be distinguished.

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Diagnosis for Degradation of Transformer Oil by an Optical Fiber Sensor (광섬유 센서를 이용한 변압기 절연유의 열화 진단)

  • Yi, Sue-Muk;Kim, Tae-Young;Suh, Kwang-S.;Sung, Man-Young
    • Proceedings of the KIEE Conference
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    • 2000.07c
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    • pp.1563-1565
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    • 2000
  • This paper presents the preliminary results on the application of optical fiber sensor(OFS) for the diagnosis of degradation in the transformer oil. An OFS system using a Mach-Zehnder interferometry technique was built to detect attenuation of acoustic signal produced by discharging. With increasing the number of discharging in the insulation oil, the attenuation of acoustic signal became greater. A strong correlation between electrical and acoustic signal intensities from discharge generated in the transformer oil was confirmed by the results reported here.

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Neural perceptron-based Training and Classification of Acoustic Signal

  • Kim, Yoon-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.1133-1136
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    • 2005
  • The MPEG/audio standard results from three years of co-work by an international committe of high-fidelity audio compression experts in the Moving Picture Experts Group (MPEG/audio). The MPEG standard is rigid only where necessary to ensure interoperability. In this paper, a new approach of training and classification of acoustic signal is addressed. This is some what a fields of application aspects rather than technonical problems such as MPEG/codec, MIDI. In preprocessing, acoustic signal is transformmed using DWT so as to extract a feature parameters of sound such as loudness, pitch, bandwidth and harmonicity. these accoustic parameters are exploited to the input vector of neural perceptron. Experimental results showed that proposed approach can be used for tunning the dissonance chord.

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A Study on the Correlation of Orthogonal Cutting all sorts Parameter and Acoustic Emission Signal (2차원 절삭시의 각종 파라메터와 음향 방출 신호와의 상호 관계에 관한 연구)

  • Kim, Jae-Yeol;Sim, Jae-Gi;Park, Hwan-Gyu;O, Hwan-Gyo
    • Journal of the Korean Society for Precision Engineering
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    • v.8 no.1
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    • pp.74-83
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    • 1991
  • A study on the Correlation of Orthogonal Cutting Parameter (Cutting speed, Depth of cut, Feed Rate) and Acoustic Emission Signal. It is well known that acoustic emission (AE) is the emission of elastic wave resulting from the deformation and fracture of materials. This study estabished correlation of orthogonal cutting parameter and AE signal, and researched into in-process monitoring of tool wear and failure. The results are as follow; 1. AE RMS was under the influence of cutting speed but hardly influenced by depth of cut and feed rate. 2. AE RMS was under the influence of flank wear. 3. AE count rate increased by increased cutting speed. 4. AE RMS value was rapidly increased in 130 m flank wear.

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Detection of Built-up Edge by AE Signal Analysis (AE 신호 분석에 의한 구성인선의 감지)

  • Oh, Min-Seok;Won, Jong-Sik;Jung, Youn-Gyo
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.3 s.96
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    • pp.18-24
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    • 1999
  • ThisPaper investigates the feasibility of using acoustic emission signal analysis for the detection of built-up edge during machining. Experiments were conducted on a CNC-lathe using conventional carbide insert tools under various cutting conditions. The cutting forces were also measured for comparisons. Experimental evidence is presented which indicates that the presence of a built-up edge can significantly affect the generation of acoustic emission in metal cutting. It is shown that under conditions in which a built-up edge is generated, the variation of $AE_{rms}$ signal with cutting speed can be quite different from the generally accepted linear, monotonic increase as previously reported. The feasibility of utilizing $AE_{rms}$ in built-up edge sensing is suggested.

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Acoustic Signal Analysis for Exploration of Buried Objects in the Ocean (해저매몰체 탐사를 위한 음향신호의 분석)

  • Kim, Jin-Hoo;Han, Kun-Mo;Park, Jong-Nam
    • Journal of Ocean Engineering and Technology
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    • v.9 no.2
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    • pp.167-174
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    • 1995
  • The anomlous signal, anomaly, recorded by a sub-bottem profiler is analized for exploration of buried objects in the ocean, This anomaly is known as a signal diffracted from the edge of the buried object. Signals obtained from model that and numerical simulation are analized for investigating characteristics of the diffracted signal. From this study a diffracted signal and a non-diffracted signal can be identified, and the location of the object can be obtained. In order to identify an object in the seafloor the dimension of the object should be greater than the wave length used for exploration, and the acoustic impedance should be much greater than that of sediments. A 2-trace stacking of the signals can enhance the feature of strongly diffracted signals whereas it can diminish weak signals.

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