scholarly journals Application of Modal Parameter Estimation Methods for Continuous Wavelet Transform-Based Damage Detection for Beam-Like Structures

2014 ◽  
Vol 7 (2) ◽  
pp. 823787
Author(s):  
Zhi Qiu ◽  
C.-M. Lee ◽  
Z. H. Xu
Keyword(s):  
Parameter Estimation ◽  
Wavelet Transform ◽  
Damage Detection ◽  
Continuous Wavelet Transform ◽  
Estimation Methods ◽  
Continuous Wavelet ◽  
Modal Parameter ◽  
Parameter Estimation Methods ◽  
Modal Parameter Estimation

Sequential damage detection based on the continuous wavelet transform

2015 ◽  
Author(s):  
Yizheng Liao ◽  
Konstantinos Balafas ◽  
Ram Rajagopal ◽  
Anne S. Kiremidjian
Keyword(s):  
Wavelet Transform ◽  
Damage Detection ◽  
Continuous Wavelet Transform ◽  
Continuous Wavelet

ON-LINE HEALTH MONITORING AND DAMAGE DETECTION OF STRUCTURES BASED ON THE WAVELET TRANSFORM

2008 ◽  
Vol 08 (03) ◽  
pp. 367-387 ◽  
Author(s):  
B. ZHU ◽  
A. Y. T. LEUNG ◽  
C. K. WONG ◽  
W. Z. LU
Keyword(s):  
Wavelet Transform ◽  
Damage Detection ◽  
Discrete Wavelet Transform ◽  
Health Monitoring ◽  
Continuous Wavelet Transform ◽  
Abrupt Change ◽  
Discrete Wavelet ◽  
Continuous Wavelet ◽  
Random Decrement Technique ◽  
On Line

Presented herein is an experiment that aims to investigate the applicability of the wavelet transform to damage detection of a beam–spring structure. By burning out the string that is connected to the cantilever beam, high-frequency oscillations are excited in the beam–spring system, and there results an abrupt change or impulse in the discrete-wavelet-transformed signal. In this way, the discrete wavelet transform can be used to recognize the damage at the moment it occurs. In the second stage of damage detection, the shift of frequencies and damping ratios is identified by the continuous wavelet transform so as to ensure that the abrupt change or impulse in the signal from the discrete wavelet transform is a result of the damage and not the noise. For the random forced vibration, the random decrement technique is used on the original signal to obtain the free decaying responses, and then the continuous wavelet transform is applied to identify the system parameters. Some developed p version elements are used for the parametric studies on the first stage of health monitoring and to find the damage location. The results show that the two-stage method is successful in damage detection. Since the method is simple and computationally efficient, it is a good candidate for on-line health monitoring and damage detection of structures.

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