Piezoelectric impedance based damage detection integrated with data compression and reconstruction
Data compression and reconstruction are critical in damage detection in structural health monitoring(SHM),on account of large amounts of sensor data to be collected and processed in data acquisition system.A data compression and recovery approach for damage detection using piezoelectric ceramic transducer(PZT)in structural health monitoring is proposed in this article.The main idea in this approach is to first perform a linear projection of the transmitted data x in the structural health monitoring system onto y by a random matrix and subsequently to feedback the data y to the receiving system.An algorithm of modified sparsity adaptive matching pursuit modified via parameter analysis is explored to improve both the recovery effect and the compression ratio(CR)of compressed sensing(CS)in the data processing stage.The proposed method is validated with piezoelectric impedance data collected by a local damage identification system on an experimental simply-supported steel beam.The results show that the effects of both compression and recovery turn out to be of high accuracy and efficiency.
data compression data reconstruction compressed sensing piezoelectric impedance Orthogonal Matching Pursuit
Hedong Li Demi Ai Hongping Zhu Hanbin Ge Hui Luo
School of Civil Engineering and Mechanics,Huazhong University of Science and Technology,Wuhan,China Department of Civil Engineering,Mejio University,Nagoya,Japan
国际会议
The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)
青岛
英文
1885-1893
2018-07-22（万方平台首次上网日期，不代表论文的发表时间）