지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한기계학회 Journal of Mechanical Science and Technology Journal of Mechanical Science and Technology Vol.21 No.6
- 발행연도
- 2007.6
- 수록면
- 896 - 902 (7page)
이용수
초록· 키워드
오류제보하기
A piezoelectric sensor-based health monitoring technique using a two-step support vector machine (SVM) classifier is developed for railroad track damage identification. A built-in active sensing system composed of two PZT patches was investigated in conjunction with both impedance and guided wave propagation methods to detect two kinds of damage in a railroad track (hole-damage 0.5㎝ in diameter at the web section and transverse cut damage 7.5㎝ in length and 0.5㎝ in depth at the head section). Two damage-sensitive features were separately extracted from each method: a) feature I: root mean square deviations (RMSD) of impedance signatures, and b) feature Ⅱ: sum of square of wavelet coefficients for maximum energy mode of guided waves. By defining damage indices from these two damagesensitive features, a two-dimensional damage feature (2-D DF) space was made. In order to enhance the damage identification capability of the current active sensing system, a two-step SVM classifier was applied to the 2-D DF space. As a result, optimal separable hyper-planes (OSH) were successfully established by the two-step SVM classifier: Damage detection was accomplished by the first step-SVM, and damage classification was carried out by the second step-SVM. Finally, the applicability of the proposed two-step SVM classifier has been verified by thirty test patterns prepared in advance from the intact state and two damage states.
목차
Abstract
1. Introduction
2. Pezoelectric sensor-based SHM techniques
3. Damage index approach
4. Damage identification using support vector machines
5. Validation of the proposed approach
6. Conclusions
Acknowledgements
References
참고문헌 (14)
참고문헌 신청
Duda, Richard O., Hart, Peter E. and Stork, David G., 2000, Pattern Classification (2nd Edition), Wiley-Interscience.
Giurgiutiu, V., 2003, “Lamb Wave Generation with Piezoelectric Wafer Active Sensors for Structural Health Monitoring,” Proc. of the SPIE Conf. on Smart Str. and Mat., San Diego, CA, 5056, 111~122.
Giurgiutiu, V. and Rogers, C. A., 1997, “Electro-Mechanical (E/M) Impedance Method for Structural Health Monitoring and Nondestructive Evaluation,” International Workshop on Structural Health Monitoring, 433~444, Stanford University, September 18~20, CA.
Jeong, H. and Jang, Y., 2000, “Wavelet Analysis of Plate Wave Propagation in Composite Laminates,” Composite Structures, 49, pp. 443~450.
Mita, A. and Taniguchi, R., 2004, “Active Damage Detection Method Using Support Vector Machine and Amplitude Modulation,” Proceedings of 11th International SPIE Symposium on Smart Structures and Materials, San Diego, CA, 5391, pp. 21~29.
Giurgiutiu, V., 2003, “Lamb Wave Generation with Piezoelectric Wafer Active Sensors for Structural Health Monitoring,” Proc. of the SPIE Conf. on Smart Str. and Mat., San Diego, CA, 5056, 111~122.
Giurgiutiu, V. and Rogers, C. A., 1997, “Electro-Mechanical (E/M) Impedance Method for Structural Health Monitoring and Nondestructive Evaluation,” International Workshop on Structural Health Monitoring, 433~444, Stanford University, September 18~20, CA.
Jeong, H. and Jang, Y., 2000, “Wavelet Analysis of Plate Wave Propagation in Composite Laminates,” Composite Structures, 49, pp. 443~450.
Mita, A. and Taniguchi, R., 2004, “Active Damage Detection Method Using Support Vector Machine and Amplitude Modulation,” Proceedings of 11th International SPIE Symposium on Smart Structures and Materials, San Diego, CA, 5391, pp. 21~29.
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