Structural health monitoring of plate by using ultrasonic Lamb wave and time reversal, multiple signal classification beam forming.

2010 ◽  
Vol 128 (4) ◽  
pp. 2443-2443 ◽  
Author(s):  
Je‐Heon Han ◽  
Yong‐Joe Kim
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Time Reversal ◽  
Lamb Wave ◽  
Signal Classification ◽  
Beam Forming ◽  
Multiple Signal Classification ◽  
Structural Health ◽  
Multiple Signal

Transmitter beamforming and weighted image fusion–based multiple signal classification algorithm for corrosion monitoring

2018 ◽  
Vol 18 (2) ◽  
pp. 621-634 ◽  
Author(s):  
Qiao Bao ◽  
Shenfang Yuan ◽  
Fangyu Guo ◽  
Lei Qiu
Keyword(s):  
Structural Health Monitoring ◽  
Image Fusion ◽  
Health Monitoring ◽  
Classification Algorithm ◽  
Signal Classification ◽  
Corrosion Monitoring ◽  
Multiple Signal Classification ◽  
Weighted Image ◽  
Multiple Signal ◽  
Monitoring Area

With the increase in aging aircrafts, corrosion monitoring has attracted much attention in the structural health monitoring area. Multiple signal classification has been gradually applied to structural health monitoring area as a new promising method because of its ability of directional scanning and the potential to monitor multiple signal sources. However, applying multiple signal classification algorithm to monitor real damage still faces some challenges. First, the scattered Lamb waves obtained using a single actuator is relatively weak, making the signal-to-noise ratio of the scattered signals low and resulting in the low precision of multiple signal classification–based monitoring. Second, linear sensor array–based structural health monitoring methods have the problem of blind area at the angles close to 0° and 180°. To meet these challenges and target at providing monitoring ability of both the position and severity of the damage, a novel transmitter beamforming and weighted image fusion–based multiple signal classification algorithm is proposed using a dual array that consists of two linear sensor arrays to enhance the amplitude of scattered Lamb waves from corrosion, improve its signal-to-noise ratio and eliminate the blind area. The corrosion severity can be evaluated by analyzing the largest eigenvalue of signal covariance matrix developed using the multiple signal classification algorithm. The proposed transmitter beamforming and weighted image fusion–based multiple signal classification algorithm is verified on aluminum plates with real corrosion damages at five stages. Experimental results show that the proposed method can realize corrosion monitoring with a good precision even at the blind monitoring area.

Structural Health Monitoring Algorithm for Composite Plates using Lamb Wave Response Measured by Piezo Transducers

2019 ◽  
Author(s):  
Luis Eduardo Jaramillo Bustamante ◽  
Edison jair Bejarano sepulveda ◽  
Volnei Tita ◽  
Marcelo Leite Ribeiro
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Lamb Wave ◽  
Composite Plates ◽  
Structural Health ◽  
Wave Response ◽  
Monitoring Algorithm

scholarly journals Arrays of Conformable Ultrasonic Lamb Wave Transducers for Structural Health Monitoring with Real-time Electronics

2014 ◽  
Vol 87 ◽  
pp. 1266-1269 ◽  
Author(s):  
L. Capineri ◽  
A. Bulletti ◽  
M. Calzolai ◽  
P. Giannelli ◽  
D. Francesconi
Keyword(s):  
Structural Health Monitoring ◽  
Real Time ◽  
Health Monitoring ◽  
Lamb Wave ◽  
Structural Health

Research on Parallel PZT Phased Array Based Structural Health Monitoring in CFPR

2013 ◽  
Vol 753-755 ◽  
pp. 2343-2346
Author(s):  
Ya Jie Sun ◽  
Yong Hong Zhang ◽  
Hui Qiang Tang ◽  
Cheng Shan Qian ◽  
Shen Fang Yuan
Keyword(s):  
Time Delay ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Lamb Wave ◽  
Phased Array ◽  
Signal Amplitude ◽  
Gray Scale ◽  
One Dimensional ◽  
Structural Health ◽  
Damage Location

Phased array theroy can controll the Lamb wave beem steering in certain range by adding the time delay to the signals. Phased array theory is used to identify the damge in the structure. One dimensional PZT array is restricted in monitoring distance. Two parellel PZT sensors arrays are utilized to monitor the CFPR structure to extend the monitoring distance and to improve the precision of the damage locatilization. The experiment is done on the CFPR structure by using two parellel PZT arrays to detect the damage in the structure. The results of the experiment is shown on the mapped image. Gray-scale in the mapped image from dark to light corresponds to the signal amplitude from low to high. The highlight of the mapped image is the damage location in the structure. The monitoring results in the CFPR structure by two parellel PZT arrays is accurate and identical.

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