• Title/Summary/Keyword: Acoustic Diagnosis

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The Analysis of trouble signal on DS for GIS using detection of PD (부분방전 검출을 이용한 GIS용 단로기의 이상신호 분석)

  • Kim, Jong-Seo;Lee, Eun-Suk;Cheon, Jong-Cheol;Park, Yong-Pil
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2003.05d
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    • pp.29-32
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    • 2003
  • Recently, the development of diagnosis technique with high confidence is important on power equipment, for this reason is to use for measurement and analysis of PD with prior appearance of insulation breakdown In this paper, we presents the analysis of trouble signal to use both method of general analysis of $\Phi$-Q-N in PD and statistical parameter by this interpretation Equipment of simulation has made independently DS for 170kV GIS of one phase with same on field. The detected signal through the sensor of Induction and Acoustic Emission is classified which used to characteristic neural network algorithm and then it is analysis.

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Diagnosis in Beding Fatigue of Spur Gear Teeth

  • Sentoku, Hirofumi;Tokuda, Takashi
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10b
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    • pp.307-311
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    • 1993
  • Research concerning gears included in rotating machines has been reported using the acoustic emission (AE) method, however, almost no research has been conducted using the AE method in regard to running gears in a bending fatigue processor spur gear teeth. Therefore, in this report, a power circulating-type gear testing machine was used and AE signals and crack length were measured in the bending fatigue process of case-hardened spur gear. Furthermore, the envelope of the AE signal was detected and various analysis were carried out in this data. In the course of the experiments, the following results were observed : the AE signal envelope consists mainly of contact frequency component and twice as many as this;two peaks of AE appear in each tooth contact by the tip corner contact ; as a result of the severe tip corner contact ; as a result of the severe tip corner contact with the sudden increase of crack length, AE signal becomes large.

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Implementation of an Inductively Coupled EM Probe System for PD Diagnosis

  • Kim, Hee-Dong;Park, Noh-Joon;Park, Dae-Hee
    • Journal of Electrical Engineering and Technology
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    • v.6 no.1
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    • pp.111-118
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    • 2011
  • In recent years, various types of partial discharge (PD) methods such as capacitive, inductive, electromagnetic, and acoustic coupling techniques have been developed for diagnosing rotating machines. An electromagnetic (EM) probe, which is an inductively coupled type of sensor, is required for detecting corona and internal discharges during off-line tests. In this study, a new technique for enhancing the measurement sensitivities for corona and internal discharge based on an EM inductive position sensor is proposed. An EM probe that winds wires around horseshoe-shaped and cylindershaped ferrites as helices is designed and optimized for the implementation of off-line PD monitoring of the stator winding of a rotating machine. The measurement system based on this design is implemented, and it is verified from the results of the experiment performed in this study that the probe provides similar performance as existing commercial products.

The Development of Diagnostic Device Using both Dissolved Gas and AE for Oil-immersed Transformer Diagnosis (전력용 유입변압기 진단을 위한 유중가스 및 AE 혼합형 진단장비 개발)

  • Choi, Kwang-Bum;Jo, Jong-Ho;Jo, Choong-Geon;Eo, Soo-Young;Shim, Jong-Tae;Seon, Jong-Ho
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.2075_2076
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    • 2009
  • 전력계통의 가장 중요한 설비인 전력용 유입변압기를 감시 진단하는 장치로서 유중가스 분석과 AE(Acoustic Emission) 센서를 이용한 PD 분석기능을 동시에 탑재한 진단 장치를 개발하였다. 두가지의 유입 변압기 진단 솔루션이 만났을때 얻어지는 시너지 효과에 대하여 분석하고 장치의 여러 가지 기능 및 활용방안에 대하여 논하였다.

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Abnormal condition analysis of compressor using AE raw signal (AE 원신호를 이용한 압축기의 이상상태 분석)

  • 김전하;이기용;김정석;이감규
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.365-368
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    • 1995
  • Rotary Compressor has many AE(Acoustic Emission) sources according to condition of parts because it is operated with combination of various parts. In this study, analysis of AE raw signal generated form Rotary compressor which artificially-made parts inflicted abnormal condition was carried out. AE raw signals were acquired form high-speed A/D board, and many burst type signals were observed. By analyzing burst type signals which is caused form internal AE source,efficient AE parameters for monitoring and diagnosis were presented.

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An experimental study on valve lash diagnosis using cylinder head vibration signal (실린더 헤드에서의 진동신호를 이용한 밸브간극 진단에 관한 실험적 연구)

  • 석정호;김원진;박윤식
    • Journal of the korean Society of Automotive Engineers
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    • v.14 no.5
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    • pp.117-127
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    • 1992
  • In this work, the possibility to diagnose valve lashes of an automotive diesel engine via cylinder head vibration/noise analysis is studied. First of all the measurement signals and conditions are selected after considering which signals and conditions are most suitable to diagonse valve lashes. Both accelerometer and microphone are used to measure cylinder head accelerations and acoustic pressure due to valve impact on cylinder head. The signals are measured in both cranking and engine firing conditions. Finally, it was found that acceleration signal obtained in engine operating condition is the most reliable signal to diagnose the valve lash condition. The valve closing angle and the peak acceleration due to valve close are chosen to analyze the valve lash condition. The measured cylinder head acceleration signals are statistically tested to derive information which are useful to judge the valve lash. In conclusion, it was found that the developed technique can be one of feasible methods to diagnose the valve conditions while the engine is in operation.

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CLINICAL ASSESSMENT OF THE VELOPHARYNGEAL INCOMPETENCY SPEAKERS WITH SPEECH AIDS (발음보조장치를 이용한 비인강폐쇄부전환자의 음성언어 평가)

  • Ko, Seung-O;Shin, Hyo-Keun
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.26 no.4
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    • pp.414-421
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    • 2000
  • The objective evaluation of velopharyngeal closure function is the key to diagnosis and therapy control of velopharyngeal incompetency. The aim of this study is to evaluate the aerodynamic and acoustic characteristics of the velopharyngeal closure function of patients who have developed velopharyngeal incompetency after management with speech aids. The test words were composed of sustained vowels /a/, /i/, /e/, /u/, /ja/, /je/, /wi/ and polysyllabic words /p'ap'i/, /siso/, /mami/ for measuring nasalance, The data was collected before the placement of the speech aids and one to three months after. The results were as follows: The nasalance score of the velopharyngeal incompetency speakers was higher than that of the normal control group, except for nasal sounds, and was decreased after placement of the speech aids, especially in high vowels /i/ (P<.01) and /wi/ (P<.05).

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The Analysis of trouble signal on DS for GIS using Neural Network (신경회로망을 이용한 GIS용 단로기의 이상신호 패턴분석)

  • Kim, Jong-Seo;Park, Yong-Pil;Cheon, Jong-Cheol;Lee, Eun-Suk
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2003.07b
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    • pp.1196-1199
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    • 2003
  • Recently, the development of diagnosis technique with high confidence is important on power equipment, for this reason is use for measurement and analysis of PD with prior appearance of insulation breakdown. In this paper, we presents the analysis of trouble signal to use ${\phi}-Q$ method which display 2D and 3D Equipment of simulation has made independently DS for 170kV GIS of one phase with same on field. The detected signal through the sensor of Induction and Acoustic Emission is classified to use characteristic neural network algorithm and then it is analysis.

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Development of Smart Sensor for Diagnosis/Monitoring of Concrete Structure (콘크리트 구조물 진단/감시용 스마트센서 개발)

  • Yun Dong-Jin;Lee Young-Sup;Lee Sang-Il;Kwon Jae-Hwa
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2006.04a
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    • pp.21-28
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    • 2006
  • Structural health monitoring (SHM) is a new technology that will be increasingly applied at the industrial field as a potential approach to improve cost and convenience of structural inspection. Recently, the development of smart sensor is very active for real application. This study has focused on preparation and application study of SAL sensor. In order to detect elastic wave, smart piezoelectric sensor, SAL, is fabricated by using a piezoelectric element, shielding layer and protection layer. This protection layer plays an important role in a patched network of distributed piezoelectric sensor and shielding treatment. Four types of SAL sensor are designed/prepared/tested, and these details will be discussed in the paper. In this study, SAL sensor can be feasibly applied to perform structural health monitoring and to detect damage sources which result in elastic waves.

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Tracking Regional Left Ventricular Wall Motion With Color Kinesis in Echocardiography (심초음파에서 국소 좌심실벽 운동 추적을 위한 Color Kinesis 구현에 관한 연구)

  • Shin, D.K.;Kim, D.Y.;Choi, K.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.11
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    • pp.579-582
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    • 1997
  • The two dimnesional echocardiography is widely used to evaluate regional wall motion abnormaility, because of its abilities to depict left ventricluar wall motion. A new method, color kinesis is a technology or echocardiographic assessment of left ventricular wall motion. In this paper, we proposed a algorithm or color kinesis which is based on acoustic quantification and automatically detects endocardial motion during systole on a frame-by-frame basis. The echocardiograms were obtained in the short-axis views in normal subjects. Automated edge detection and endocardial contour tracing algorithm was applied to each frames, quantitative analysis based on segmentation was performed, and pre-defined color overlays superimposed on the gray scale images. Segmental analysis of color kinesis provided automated, quantitative diagnosis of regional wall motion abnormality.

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