Smart Wireless Sensor Nodes for Structural Health Monitoring

• Published in: Intelligent Sensor Networks pp. 77 - 91
• Main Authors: Liu, Xuefeng, Tang, Shaojie, Xiaohua, Xu
• Format: Book Chapter
• Language: English
• Published: CRC Press 2013
• Edition: 1
• Subjects: Modal Parameters; Markov Parameters; Multi-scale Strategy; Deployed Sensor Nodes; SHM System; Sensor Networks; Mode Shape Vectors; Sensor Nodes; Local Mode Shapes; Mode Shape; Super Nodes; Tsing Ma Bridge; Distributed Kalman Filtering; WSN; Long Term SHM; Cognitive Wireless Sensor Networks; Sink Node; SHM; Intelligent Sensor Networks; Time History Record; Wireless Sensor Nodes; Typical Cantilevered Beam; Natural Frequencies
• ISBN: 1138199745; 9781439892817; 1439892814; 9781138199743
• DOI: 10.1201/b14300-5

This chapter focuses on designing and implementing effective and energy-efficient structural health monitoring (SHM) algorithms in resource-limited wireless sensor networks (WSNs). On the contrary, designing a WSN for long-term SHM is much more challenging. A long-term SHM system only needs to have a longer system lifetime and higher system reliability but embedding SHM algorithms within the network becomes a necessity. However, the server of the SHM systems using this multi-scale strategy still needs to be powerful enough to handle the task of updating the refined FEM when the damage is suspected to occur. However, unlike other monitoring applications of WSNs, such as environmental and habitat monitoring where embedded algorithms are as simple as average, max, min, etc., many SHM algorithms are centralized and computationally intensive. The main drawback of traditional wire-based SHM systems is the high cost. The high cost mainly comes from the centralized data acquisition system, long cables, sensors, and infield servers.