• Title/Summary/Keyword: AE-signals

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Traction Characteristic of Korean High Speed Train (한국형 고속철도차량의 견인특성)

  • Han, Young-Jae;Kim, Seng-Won;Si, Sung-Il;Baik, Kwang-Sun;Hwang, Jun-Guk;Kno, Ae-Sook
    • Proceedings of the KIEE Conference
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    • 2003.04a
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    • pp.432-434
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    • 2003
  • The korean high speed train(350km/h), composed of 7cars that are 2 power cars, 2 motorized car and 3 trailer cars, has been developed and is under on-line test. To verify the design requirements about the functions and traction performances of this train, KRRI(Korea Railroad Research Institute) decided to evaluate traction performances of the train during on-line test. For this purpose, such as torque, velocity, voltage and current, must be measured. KRRI has developed the measurement system that can be measured vast and various signals effectively. In this paper, we introduce traction performances of korean high speed train. The traction measurement items are focused on the verification of motor block performances.

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Development of Insulation Degradation Diagnosis System for Electrical Plant

  • Kim, Yi-Gon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.2 no.1
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    • pp.33-37
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    • 2002
  • Insulation aging diagnosis system provides early warning regarding electrical equipment defects. Early warning is very important in that it can avoid great losses resulting from unexpected shutdown of the production line. Since relations of insulation aging and partial discharge dynamics are non-linear. it is very difficult to provide early warning in an electrical equipment. In this paper, we propose the design method of insulation aging diagnosis system that use a electromagnetic wave and acoustic signal to diagnose an electrical equipment. Proposed system measures the partial discharge on-line from DAS(Data Acquisition System and acquires 2D patterns from analyzing it. For filtering the noise contained in sensor signals we used ICA algorithms. Using this data, we design of the neuro-fuzzy model that diagnoses an electrical equipment and is investigated in this paper. Validity of the new method is asserted by numerical simulation.

Realtime Detection of Damage in Composite Structures by Using PVDE Sensor (압전고분자 센서를 이용한 복합재 구조의 실시간 손상탐지)

  • ;Y. A. Dzenis
    • Proceedings of the Korean Society For Composite Materials Conference
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    • 2002.10a
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    • pp.118-121
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    • 2002
  • Polyvinylidene di-fluoride (PVDF) film sensor appeared to be practically useful for the structural health monitoring of composite materials and structures. PVDF film sensors were either attached to or embedded in the graphite/epoxy composite (CFRP) samples to detect the fatigue damage at the bondline of single-lap joints or the tensile failure of unidirectional laminates. PVDF sensors were sensitive enough to detect and determine the crack front in linear location since composites usually produce very energetic acoustic emission (AE). PVDF sensors are extremely cost-effective, as flexible as other plastic films, in low profile as thin as a few tens of microns, and have relatively wide-band response, all of which characteristics are readily utilized for the structural health monitoring of composite structures. Signals due to fatigue damage showed a characteristics of mode II (shear) type failure whereas those from fiber breakage at DEN notches showed that of mode I (tensile) type fracture.

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Sensor Fusion and Neural Network Analysis for Drill-Wear Monitoring (센서퓨젼 기반의 인공신경망을 이용한 드릴 마모 모니터링)

  • Prasopchaichana, Kritsada;Kwon, Oh-Yang
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.17 no.1
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    • pp.77-85
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    • 2008
  • The objective of the study is to construct a sensor fusion system for tool-condition monitoring (TCM) that will lead to a more efficient and economical drill usage. Drill-wear monitoring has an important attribute in the automatic machining processes as it can help preventing the damage of tools and workpieces, and optimizing the drill usage. In this study, we present the architectures of a multi-layer feed-forward neural network with Levenberg-Marquardt training algorithm based on sensor fusion for the monitoring of drill-wear condition. The input features to the neural networks were extracted from AE, vibration and current signals using the wavelet packet transform (WPT) analysis. Training and testing were performed at a moderate range of cutting conditions in the dry drilling of steel plates. The results show good performance in drill- wear monitoring by the proposed method of sensor fusion and neural network analysis.

Electroglottographic Spectral Tilt in Frequency Ranges of Vowel Sound (모음 주파수 범위에 따른 성문전도 스펙트럼 기울기)

  • Kim, Ji-Hye;Jang, Ae-Lan;Jung, Dong-Keun
    • Journal of Sensor Science and Technology
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    • v.24 no.4
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    • pp.247-251
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    • 2015
  • In this study, electroglottographic spectral tilt (EST) was investigated for characterization of vocal cords vibration. EST was analyzed from the power spectrum of electroglottographic signals by dividing frequency analysis range as full range (0~4 octave), low range (0~2 octave), and high range (2~4 octave). EST of all ranges in female were greater than those in male. In female and male groups, EST of high range was higher than that of low range. This result suggests that EST has at least two components and dividing frequency range in analysis of EST is effective for investigating characteristics of vocal cords vibration.

Development of Diagnostic Expert System for Rotating Machinery with Journal Bearing (저어널 베어링으로 지지된 회전축의 이상상태 진단을 위한 진단전문가 시스템의 개발)

  • 유송민;김영진;박상신
    • Tribology and Lubricants
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    • v.17 no.3
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    • pp.244-250
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    • 2001
  • A rotating axis diagnostic system supported with journal bearing has been established that has been widely used in the industry. In order to measure the most sensitive signals that would be generated in the abnormal operation, sensors which measure AE(acoustic emission), gap and acceleration have been attached at the various location on the experimental apparatus. Data were obtained in the steady state operational condition of the system which was verified through the empirical measurement. Notable discrepancies were observed in RMS acceleration signal which could be utilized to predict the undesirable operational condition of the system.

The Analysis of PD Signal using Neural Network (신경회로망을 이용한 부분방전 신호의 패턴분석)

  • 김종서;박용필;천민우
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.17 no.5
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    • pp.567-571
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    • 2004
  • Recently, GIS(Gas Insulated Switchgear) has been recognizing of importance on development of diagnosis technique which is happened problem on confidence for a long time use. Therefore, the measurement and analysis of PD with prior phenomenon of insulation breakdown is used many method of diagnosis for GIS. In this paper, we simulate trouble condition in DS and analysis trouble signal to use electrical and mechanical methods, interpretation of detected signal has analysed with to use ø-q-n pattern and neural network. For this analysis, we have used the induction and AE(acoustic emission) sensors. For the simulation experiment, we make DS for 170 KV GIS and analyze the classification and characteristics of detected signals with the application of neural network algorithm.

A multiplexed fiber-optic sensor for measuring large displacement (대변위 측정을 위한 다중화된 광섬유 센서)

  • Yoo, Jung-Ae;Kwon, Il-Bum;Jo, Jae-Heung;Seo, Dae-Cheol
    • Journal of Sensor Science and Technology
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    • v.14 no.3
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    • pp.169-179
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    • 2005
  • A multiplexed bend loss type single-mode fiber-optic sensor system was prepared to measure the displacement of several cm of the civil engineering structures such as many bridges, tunnels and various buildings. This bend loss type fiber-optic sensor used the signal difference between two reflection signals due to various bend losses generating at a pair of optical connectors by using OTDR (optical time domain reflectometer) for measuring displacements. And the experiments were conducted for showing the measurement feasibility on the range of 10 cm, and the multiplexing experiments were also performed to measure the displacements of 5 measuring positions of an object by setting these 5 fiber-optic sensors on a single mode fiber simultaneously.

Evaluation of Laser-based Ultrasonic Signals due to Fiber Orientation of CFRP (CFRP의 섬유강화재 배향성에 따른 레이저유도초음파 신호특성 평가)

  • Choi Sang-Woo;Lee Joon-Hyun;Byun Joon-Hyung;Seo Kyeong-Cheol
    • Proceedings of the Korean Society For Composite Materials Conference
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    • 2004.04a
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    • pp.143-146
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    • 2004
  • Fiber reinforced plastic material should be inspected in fabrication process in order to enhance quality by prevent defects such as delamination and void. Generally, ultrasonic technique is widely used to evaluate FRP. In conventional ultrasonic techniques, transducer should be contacted on FRP. However, conventional contacting method could not be applied in fabrication process and novel non-contact evaluating technique was required. Laser-based ultrasonic technique was tried to evaluate FRP plate. Laser-based ultrasonic waves propagated on CFRP were received with various transducers such as accelerometer and AE sensor in order to evaluated the properties of waves due to the variation of frequency. Velocities of laser-based ultrasonic waves were evaluated for various fiber orientation.

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Investigation of Head-Disk Impact for Development of Ultra-Low Flying HDI (극저부상 HDI 개발을 위한 Head-Disk Impact 연구)

  • 조언정;박노열
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • 2001.06a
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    • pp.122-126
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    • 2001
  • Magnetic hard disk drive is continually being pushed to reduce head-disk spacing for higher recording densities. The current minimum spacing between the air-bearing slider and disk has been reduced to under 15 nm. In this work, it was investigated if flying height could be lowered under the height of laser bumps. With the reduction of the spinning speed, the flying height was decreased under the height of laser bumps. When a head swept between landing zone and data zone, the head-disk impact was monitored using AE and friction signals. It is demonstrated that magnetic hard disk drive could be operated without tribological failures under the height of laser bumps.

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