• Title/Summary/Keyword: 손상 검출

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The Damage Classification by Periodicity Detection of Ultrasonic Wave Signal to Occur at the Tire (타이어에서 발생하는 초음파 신호의 주기성 검출에 의한 손상 분별)

  • Oh, Young-Dal;Kang, Dae-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.6
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    • pp.107-111
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    • 2010
  • The damage of tire by damage material classification method is researched as used ultrasonic wave signal to occur at a tire during vehicle driving. Auto-correlation function after having passed through an envelope detecting preprocess is used for detecting periodicity because of occurring periodic ultrasonic waves signal with tire revolution. One revolution cycle time of a damaged tire and period that calculated auto-correlation function appeared equally in experiment. The result that can classification whether or not there was a tire damage is established.

Stator Current Processing Based Technique for Induction Motors Bearing Faults Diagnosis (유도전동기 베어링고장진단을 위한 고정자전류프로세싱 기술개발)

  • Hong, Won-Pyo;Yoon, Sup-Chung;Kim, Dong-Hwa
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2005.05a
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    • pp.311-318
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    • 2005
  • 이 논문은 다른 종류의 유도전동기 구름베어링 손상을 유도전동기 고정자 전류신호해석을 통하여 검출하고 실시간으로 손상을 진단하는 알고리즘을 개발하였다. 유도전동기 구름베어링의 손상을 검출하기 위하여 정상적인 베어링을 갖는 유도전동기, 축정열에 불량을 가지고 있는 전동기와 베어링 외륜에 구멍을 가지고 있는 2가지 종류의 비정상 베어링을 갖는 유도전동기 3set를 실험시스템을 구축하였다. 또한 유도전동기의 구름베어링시스템의 비정상적인 상태에서 고정자전류을 검출하기 위하여 TMS320F2407 DSP 칩을 이용하여 데이터 획득보드를 개발하였다. 이 고정자전류신호를 해석을 통하여 베어링 손상을 검출하기 위한 방법으로 FPT, 웨이브렛 분석 및 내적에 의한 평균신호패던에 의한 분석결과를 제시하였다. 특히 내적에 의한 신호분석을 통하여 베어링 손상 여부를 실시간으로 진단할 수 있는 새로운 알고리즘과 분석방법을 제시하였다.

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Impact Damage Detection of Smart Composite Laminates Using Wavelet Transform (웨이블릿 변환을 이용한 스마트 복합적층판의 충격 손상 검출 연구)

  • 성대운;오정훈;김천곤;홍창선
    • Composites Research
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    • v.13 no.1
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    • pp.40-49
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    • 2000
  • The objective of this research is to develop the impact monitoring techniques providing impact identification and damage diagnostics of smart composite laminates susceptible to impacts. This can be implemented simultaneously by using the acoustic waves by the impact loads and the acoustic emission waves from damage. In the previous research, we have discussed the impact location detection process in which impact generated acoustic waves are detected by PZT using the improved neural network paradigm. This paper describes the implementation of time-frequency analysis such as the Short-Time Fourier Transform (STFT) and the Wavelet Transform (WT) on the determination of the occurrence and the estimation of damage.

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A Study of the Vehicle Tire Damage Detection using Split Spectrum Processing (스플릿 스펙트럼을 이용한 자동차 타이어 손상 검출에 관한 연구)

  • Jeon, Jae-Seok;Kim, Ho-Yeon;Kang, Dae-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.6
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    • pp.113-118
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    • 2010
  • The split spectrum processing algorithm of an ultrasonic wave on the tire was studied for the damage detection of a driving vehicle's tire. The processing results of normal and damaged tire was compared using the split spectrum algorithm to estimate the maximum value. The result that used Auto-correlation in case of damaged tire, the damage feature point is detected during 81ms intervals at a speed of 100km/h and during 162ms periodicity at a speed of 50km/h. This results was meaned the possibility for the tire's damage decision by damaging material with using periodicity feature point of tire damage according to vehicle speed.

Automatic Detection of Degraded Regions in Old Film Archive (오래된 영화에서 손상된 영역 자동검출)

  • Kim, Kyung-Tai;Kim, Byung-Geun;Kim, Eun-Yi
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.1
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    • pp.120-124
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    • 2010
  • This paper presents a method that can automatically detect variety of degradations (i.e., scratches and blotches) in old film archive. The proposed method consists of candidate detection and verification. Degradations are first identified by finding the local extreme of a frame in spatiotemporal domains, thereby using edge detector and SROD detector. Then, to remove some false alarms occurred in the first stages, the verification is performed using the texture and shape properties of scratches and blotches. The textural properties of scratches and blotches are learned using neural networks (NNs) and their shapes are represented using morphological filters. The experiments were performed on several old films, then the results demonstrated the effectiveness of the proposed method, where it has a precision of 81% and a recall of 79%.

An Analysis of Magnetic Field for Determining the Fault Current on Conductor (도전체에서 고장전류 결정을 위한 자계 분석)

  • Park, Geon-Ho
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2017.07a
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    • pp.129-130
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    • 2017
  • 본 연구에서는 피복 손상 등으로 누전되었을 때 그 주변의 자기장을 검출하여 누전 여부를 판단할 수 있는 장치를 개발하기 위하여 표면 누전에 의한 전류의 흐름을 조사하였고, 또한 전류에 의한 자계를 검출하기 위해 센서를 제작하였다. 전선 피복 손상에 의한 도전체 표면에 누전되는 상황을 모의하여 전력을 변화시켜서 실험을 수행하였다. 한편 표면에 발생되는 자계를 검출할 수 있도록 센서는 2축으로 구성하였으며, 이를 통해 전선 주변 및 누전된 도전체 표면에서 거리 및 각도 변화에 따른 자계를 검출하였다.

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Diagnosis Techniques of Large Structural System Based on Measured Dynamic Properties (계측된 구조물의 동적인자에 의한 손상검출기술)

  • Heo, Gwang Hee;Cho, Man Yong
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.2 no.4
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    • pp.224-232
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    • 1998
  • 구조물에 손상이 발생하게 되면 동적특성이 변하게 된다. 그러므로 이와 같은 특성을 계측하여 구조물의 손상된 정도를 평가하게 되면 이를 상시감시에 활용할 수가 있다. 대표적인 손상기술들을 제작된 모형교량에 서로 다른 경계조건을 구현하여 손상도를 Simulation을 이용하여 결정하고 가장 적법한 방법과 대책을 연구했다. 모형교량은 I-DEAS의 Normal Mode Dynamic Solver를 이용하여 분석 제작되어 계측과 비교평가 되어 손상기술에 적용되었다. 24개의 가속도 감지기를 이용하여 데이터를 획득하였고, Residue법으로 모달인자를 추출하였다. 추출된 동적인자가 상시감시에 적용하도록 구조물의 손상검출기술을 제안한다

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Diagnosis Techniques of Large Structural System Based on Measured Dynamic Properties (계측된 구조물의 동적인자에 의한 손상검출기술)

  • Heo, Gwang Hee;Cho, Man Yong
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.3 no.1
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    • pp.103-111
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    • 1999
  • 구조물에 손상이 발생하게 되면 동적특성이 변하게 된다. 그러므로 이와 갈은 특성을 계측하여 구조물의 손상된 정도를 평가하게 되면 이를 상시감시에 활용할 수가 있다. 대표적인 손상기술들을 제작된 모형교량에 서로 다른 경계조건을 구현하여 손상도를 Simulation을 이용하여 결정하고 가장 적법한 방법과 대책을 연구했다. 모형교량은 I-DEAS의 Normal Mode Dynamic Solver를 이용하여 분석 제작되어 계측과 비교평가 되어 손상기술에 적용되었다. 24개의 가속도 감지기를 이용하여 데이터를 획득하였고, Residue법으로 모달인자를 추출하였다. 추출된 동적인자가 상시감시에 적용하도록 구조물의 손상검출기술을 제안한다

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Image Feature based Inpainting Scheme for Restoration of Line Scratch of Old Film (오래된 영화의 line scratch 복원을 위한 영상특성추출기반의 인페인팅)

  • Ko, Ki-Hong;Kim, Seong-Whan
    • The KIPS Transactions:PartD
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    • v.15D no.4
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    • pp.581-588
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    • 2008
  • Old films or photographs usually have damages from physical or chemical effects, and the damage and digitalization make stain, scratch, scribbling, noise, and digital drop out in frames. Damages include global damage and local damage, and it is well known that local damage restoration is a main factor for improving image quality. Previous researches have focused on impairment localization (esp. for line scratch impairments) and restoration techniques for line scratch, dirt, blob, and intentional scratch. Inpainting is a key technique using partial derivatives to restore damages in images. It does not show good quality for the complex images because it is based on finite order for partial derivatives, and it takes much time complexity. In this paper, we present a modified inpainting scheme, where we use Sobel edge operator's and angle to compute isophotes, and compare our scheme with Bertalmio's scheme. We experiment our scheme with two old Korean films, and Simulation results show that our scheme requires smaller time complexity than Bertalmio's scheme with comparable reconstructed image quality.

Induction Motor Bearing Damage Detection Using Stator Current Monitoring (고정자전류 모니터링에 의한 유도전동기 베어링고장 검출에 관한 연구)

  • Yoon, Chung-Sup;Hong, Won-Pyo
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.19 no.6
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    • pp.36-45
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    • 2005
  • This paper addresses the application of motor current spectral analysis for the detection of rolling-element bearing damage in induction machines. We set the experimental test bed. They is composed of the normal condition bearing system, the abnormal rolling-element bearing system of 2 type induction motors with shaft deflection system by external force and a hole drilled through the outer race of the shaft end bearing of the four pole test motor. We have developed the embedded distributed fault tolerant and fault diagnosis system for industrial motor. These mechanisms are based on two 32-bit DSPs and each TMS320F2407 DSP module is checking stator current The effects on the stator current spectrum are described and related frequencies are also determined. This is an important result in the formulation of a fault detection scheme that monitors the stator currents. We utilized the FFT(Fast Fourier Transform), Wavelet analysis and averaging signal pattern by inner product tool to analyze stator current components. Especially, the analyzed results by inner product clearly illustrate that the stator signature analysis can be used to identify the presence of a bearing fault.