Transactions of the Korean Society for Noise and Vibration Engineering (한국소음진동공학회논문집)

The Korean Society for Noise and Vibration Engineering (한국소음진동공학회)
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Robust Damage Diagnostic Method Using Short Time Fourier Transform and Beating

단시간 푸리에 변환과 맥놀이를 이용한 강건한 결함 진단법

  • 이호철 (대국가톨릭대학교 기계자동차공학부)
  • Published : 2005.09.01
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Abstract

A robust damage detection method using short-time Fourier transform and beating phenomena is presented as an estimating tool of the healthiness of large structures. The present technique makes use of beating phenomena that manifest themselves when two signals of similar frequencies are added or subtracted. Unlike most existing methods based on vibration signals, the present approach does not require an analytic model for target structures. Furthermore, the main advantage of the proposed method compared to the competing diagnostic method using vibration data is its robustness. The proposed method is not affected by the amplitude of exciting signals and the location of exciting points. From a measuring view point. the location of sensing point have no influence on the performance of the present method. With a view to verifying the effectiveness of this method. a series of experiments are made and the results show its possibility as a robust damage diagnostic method.

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References

  1. Messina, A., Williams, E. and Contursi, T., 1998, 'Structural Damage Detection by a Sensitivity and Statistical-based Method', Journal of Sound and Vibration, Vol. 216, No. 5, pp. 791-808 https://doi.org/10.1006/jsvi.1998.1728
  2. Panday, A. and Biswas, M., 1995, 'Damage Diagnosis of Truss Structures by Estimation of Flexibility Changes', The International Journal of Analytical and Experimental Modal Analysis, Vol. 10, pp. 104-117
  3. 조종철, 정명조, 김웅식, 김효정, 김태형, 2003, '결함을 가진 증기발생기 U-튜브의 진동특성', 한국소음진동공학회논문집, 제 13 권, 제 5 호, pp. 400-408
  4. Wang, X., Hu N., Fukunaga, Hisao, and Yao, Z. H., 2001, 'Structural Damage Identification Using Static Test Data and Changes in Frequencies', Engineering Structures, Vol. 23, pp. 610-621 https://doi.org/10.1016/S0141-0296(00)00086-9
  5. Yan, Y. J. and Yam L. H., 2004, 'Detection of Delamination Damage in Composite Plates Using Energy Spectrum of Structural Dynamic Responses Decomposed by Wavelet Analysis', Computers and Structures, Vol. 82, pp. 347-358 https://doi.org/10.1016/j.compstruc.2003.11.002
  6. Hong, J. C., Kim Y. Y. and Lee, H. C.,2002, 'Damage Detection Using the Lipschitz Exponent Estimated by the Wavelet Transform: Application to Vibration Modes of a Beam', International Journal of Solids and Structures, Vol. 39, pp. 1803-1816 https://doi.org/10.1016/S0020-7683(01)00279-7
  7. Lim, T. W., 1991, 'Structural Damage Detection Using Modal Test Data', AIAA Journal, Vol. 29, No. 12, pp. 2271-2274 https://doi.org/10.2514/3.10873
  8. Cattarius, J., Inman, D. J., 1997, 'Time Domain Analysis for Damage Detection in Smart Structures', Mechanical System and Signal Processing, Vol. 11, No. 3, pp. 409-423 https://doi.org/10.1006/mssp.1996.0086
  9. Mallat, S., 1998, A Wavelet Tour of Signal Processing, Academic Press, New York, Chap.4
  10. Mathworks Inc., 2002, Matlab Signal Processing Tool Box User Guide, pdf-version, pp. 4-32
  11. Vaidyanathan, 1993, Multirate Systems and Filter Banks, Prentice Hall, pp. 164