Proceedings of the Computational Structural Engineering Institute Conference (한국전산구조공학회:학술대회논문집)
- 2006.04a
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- Pages.240-247
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- 2006
Damage Detection of Railroad Tracks Using Piezoelectric Sensors
압전센서를 이용하는 철로에서의 손상 검색 기술
- Yun Chung-Bang ;
- Park Seung-Hee ;
- Inman Daniel J. (Dept. of Mechanical Engineering, Virginia Tech)
- Published : 2006.04.01
Abstract
Piezoelectric sensor-based health monitoring technique using a two-step support vector machine (SYM) classifier is discussed for damage identification of a railroad track. An 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 of the railroad track (one is a hole damage of 0.5cm in diameter at web section and the other is a transverse cut damage of 7.5cm in length and 0.5cm in depth at head section). Two damage-sensitive features were extracted one by one from each method; a) feature I: root mean square deviations (RMSD) of impedance signatures and b) feature II: wavelet coefficients for
Keywords
- Piezoelectric Sensors (PZT);
- Structural Health Monitoring;
- Impedance;
- Guided Waves;
- RMSD;
- Wavelet Analysis;
- Support Vector Machines;
- Railroad Tracks.