Development of Crack Examination Algorithm Using the Linearly Integrated Hall Sensor Array

선형 홀 센서 배열을 사용한 결함 검사 알고리즘 개발

  • Kim, Jae-Jun (Department of Mechanical Engineering, Kyunghee Univ.) ;
  • Kim, Byoung-Soo (Department of Mechanical Engineering, Kyunghee Univ.) ;
  • Lee, Jin-Yi (Department of Control, Instrumentation and Robot Engineering, Chosun Univ.) ;
  • Lee, Soon-Geul (Department of Mechanical Engineering, Kyunghee Univ.)
  • 김재준 (경희대학교 기계공학과) ;
  • 김병수 (경희대학교 기계공학과) ;
  • 이진이 (조선대학교 제어계측로봇공학과) ;
  • 이순걸 (경희대학교 기계공학과)
  • Received : 2010.04.14
  • Accepted : 2010.09.08
  • Published : 2010.11.01

Abstract

Previous researches show that linearly integrated Hall sensor arrays (LIHaS) can detect cracks in the steel structure fast and effectively This paper proposes an algorithm that estimates the size and shape of cracks for the developed LIHaS. In most nondestructive testing (NDT), just crack existence and location are obtained by processing 1-dimensional data from the sensor that scans the object with relative speed in single direction. The proposed method is composed with two steps. The first step is constructing 2-dimensionally mapped data space by combining the converted position data from the time-based scan data with the position information of sensor arrays those are placed in the vertical direction to the scan direction. The second step is applying designed Laplacian filter and smoothing filter to estimate the size and shape of cracks. The experimental results of express train wheels show that the proposed algorithm is not only more reliable and accurate to detecting cracks but also effective to estimate the size and shape of cracks.

Keywords

References

  1. Hong, G. Y. and Hong, S. B., "Enhancement of the Ultrasonic Image Using the Adaptive Window Log Filter for NDI of Aircraft Composite Materials," Journal of Guidance, Control, and Dynamics, Vol. 11, No. 2, pp. 33-42, 2003.
  2. Hwang, J. S., Lee, J. Y. and Kwon, S. J., "The application of a differential-type Hall sensors array to the nondestructive testing of express train wheels," International the Independent Journal of Non Destructive Testing and Evaluation, Vol. 42, No. 1, pp. 34-41, 2009.
  3. Lee, J. Y., Hwang, J. S., Kwon, S' J. and Seo, J. W., "Inspection of Cracks on the Express Train Wheel Using a High Speed Scan Type Magnetic Camera," Journal of the Korean Society of Mechanical Engineers, Vol. 32, No. 11, pp. 943-950, 2008. https://doi.org/10.3795/KSME-A.2008.32.11.943
  4. Jee, H. S., Lee, J. O. and Kim, J. W., "Leaked magnetic flux distribution analysis of wire rope for elevator," Mechanical and Material, Vol. 20, No. 3, pp. 129-138, 2008.
  5. Grimes, C. A., Dickey, E. C. and Pishko, M. V., "Encyclopedia of Sensors," American Scientific Publishers, pp. 261-282, 2006.
  6. Joo, G. T., Son, D. L., Han, J. H. and Park, J. H., "The magnetic flux leakage measurement by the hall sensor in the longitudinal magnetic field," Spring Conference of the Korean Society for Nondestructive Testing, pp. 373-381, 1998.
  7. Gonzalez, R. C., "Digital Image Processing," Prentice Hall, pp. 131-137, 2004.
  8. Hwang, J. S. and Lee, J. Y., "Modeling of a Scan Type Magnetic Camera Image Using the Improved Dipole Model," Journal of the Korean Society of Mechanical Engineers, Vol. 20, No. 10, pp. 1691-1701, 2006.
  9. Lee, K. S., Suh, J. H., Min, J. T. and Lee, Y. J., "Development of Real-time Remote Detection System for Crane Wire Rope Defect," Journal of the Korean Society of Precision Engineering, Vol. 22, No. 1, pp. 53-60, 2005.