TY - GEN
T1 - Rail defect detection based on vibration acceleration signals
AU - Wei, Qiang
AU - Zhang, Xin
AU - Wang, Yan
AU - Feng, Naizhang
AU - Shen, Yi
PY - 2013
Y1 - 2013
N2 - This paper proposes a rail defect detection method based on vibration acceleration signals. The vibration signals are generated from the vehicle-track coupling model by inputting different typical rail defect excitations. The empirical mode decomposition method is used to decompose the signal. Intrinsic mode functions that have a big cross-correlation coefficient with the original signal are selected, and then the instantaneous energy distributions of the selected intrinsic mode functions are calculated. By comparing the cross-correlation coefficient of the instantaneous energy distribution of different rail defect signals, the type and the damage level of rail defect can be identified.
AB - This paper proposes a rail defect detection method based on vibration acceleration signals. The vibration signals are generated from the vehicle-track coupling model by inputting different typical rail defect excitations. The empirical mode decomposition method is used to decompose the signal. Intrinsic mode functions that have a big cross-correlation coefficient with the original signal are selected, and then the instantaneous energy distributions of the selected intrinsic mode functions are calculated. By comparing the cross-correlation coefficient of the instantaneous energy distribution of different rail defect signals, the type and the damage level of rail defect can be identified.
KW - empirical mode decomposition
KW - rail defect detection
KW - vibration acceleration signal
UR - https://www.scopus.com/pages/publications/84882239557
U2 - 10.1109/I2MTC.2013.6555602
DO - 10.1109/I2MTC.2013.6555602
M3 - 会议稿件
AN - SCOPUS:84882239557
SN - 9781467346221
T3 - Conference Record - IEEE Instrumentation and Measurement Technology Conference
SP - 1194
EP - 1199
BT - 2013 IEEE International Instrumentation and Measurement Technology Conference
T2 - 2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013
Y2 - 6 May 2013 through 9 May 2013
ER -