한국구조물진단유지관리공학회 논문집 (Journal of the Korea institute for structural maintenance and inspection)

  • 제23권7호
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  • Pages.129-136
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  • 2019
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  • 2234-6937(pISSN)
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  • 2287-6979(eISSN)
한국구조물진단유지관리공학회 (Korea Institute for Structural Maintenance Inspection)
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강구조물 진단을 위한 누설자속 기반 강판 손상의 이미지화

Imaging Magnetic Flux Leakage based Steel Plate Damage for Steel Structure Diagnosis

  • 김한선 (성균관대학교 건설환경시스템공학과) ;
  • 김주원 (성균관대학교 건설환경공학부) ;
  • 유병준 (성균관대학교 미래도시융합공학과) ;
  • 김원규 (성균관대학교 미래도시융합공학과) ;
  • 박승희 (성균관대학교 건설환경공학부)
  • 투고 : 2019.11.07
  • 심사 : 2019.12.04
  • 발행 : 2019.12.01
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초록

본 연구에서는 강판 손상 진단을 위하여 누설자속 기법을 적용하고, 신호 기반으로 신호의 이미지화 기법에 대해 연구를 실시하였다. 누설자속 신호의 이미지화를 위해 다른 두께를 가지는 강판시편을 준비하였고, 각 시편에 똑같은 위치에 6가지 깊이의 손상을 인공적으로 가공하였다. 홀센서와 Yoke를 이용한 센서헤드를 제작하여 강판시편을 자화시킴과 동시에 누설자속 신호를 계측하였다. 센서로부터 수집된 자속신호의 노이즈 제거 및 이미지 해상도를 높이기 위하여 여러 신호처리 과정을 거쳤으며, 각 손상부로부터 계측된 누설자속 신호의 분석을 위해 각 채널별로 P-P value를 분석하였다. 위의 신호처리 및 분석을 바탕으로 누설자속 신호를 이미지로 변환시켰다. 이를 통해 누설자속 신호 기반 강판 손상의 이미지화로 손상을 한눈에 파악하는 것이 가능하였다.

In this study, the magnetic flux leakage technique was applied to diagnose steel plate damage, imaging technique was applied through those signals. Steel plate specimens with different thicknesses were prepared for the imaging the magnetic flux leakage signal, and 6 different depths of damage were artificially processed at the same locations on each specimen. The sensor head consist hall sensor and magnetization yoke was fabricated to magnetize the steel plate specimen and measure the magnetic flux leakage signal. In order to remove the noise and increase the resolution of the image in the signal collected from the hall sensor, various of signal processing was performed. P-P value was analyzed for each channel to analyze the magnetic flux leakage signals measured from each damaged part. Based on the above processed signals and analysis, it was converted into heatmap image. Through this, it was possible to identify the damage on the steel plate at glance by imaging magnetic flux leakage signal.

키워드

참고문헌

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