Damage Detection with Streamlined Structural Health Monitoring Data

Sensors

Jian Li²  Jun Deng¹  Weizhi Xie¹ 

[1] School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China; E-Mail:;Guangdong Provincial Academy of Building Research, Guangzhou 510500, China; E-Mail:

关键词: damage detection;    data compression;    data communication;    knowledge discovery;    sensor network;    structural health monitoring;    system identification;   

DOI  :  10.3390/s150408832

来源: mdpi

【 摘 要 】

The huge amounts of sensor data generated by large scale sensor networks in on-line structural health monitoring (SHM) systems often overwhelms the systems’ capacity for data transmission and analysis. This paper presents a new concept for an integrated SHM system in which a streamlined data flow is used as a unifying thread to integrate the individual components of on-line SHM systems. Such an integrated SHM system has a few desirable functionalities including embedded sensor data compression, interactive sensor data retrieval, and structural knowledge discovery, which aim to enhance the reliability, efficiency, and robustness of on-line SHM systems. Adoption of this new concept will enable the design of an on-line SHM system with more uniform data generation and data handling capacity for its subsystems. To examine this concept in the context of vibration-based SHM systems, real sensor data from an on-line SHM system comprising a scaled steel bridge structure and an on-line data acquisition system with remote data access was used in this study. Vibration test results clearly demonstrated the prominent performance characteristics of the proposed integrated SHM system including rapid data access, interactive data retrieval and knowledge discovery of structural conditions on a global level.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.