Efficient GWUT Signal Processing Algorithms for Wireless NDE

Guided Wave Ultrasonic Testing (GWUT) is a modern NDT Technique which is discovering its application in Structural Health Monitoring of Civil infrastructure specifically metallic structures and also being considered for aerospace and maritime applications. It reliably detects the surface cracks in a monitored structure. It also helps enhancing failure prognosis leading to effective preventive maintenance and reduced risk of failure. Structural Health Monitoring depends greatly upon Wireless Sensor Networks (WSNs) for collection of data from widespread sensors and transmission to a base station. This paper discusses the trade-offs involved and the methods utilized for automated detection and localization of cracks at the base station. Use of low power wireless motes requires the signals received from the sensors to be partially processed before transmission to cater for low bandwidth constraints. The data gathered at the base station is then merged and processed for detection, localization and characterization.

1. Hall, J.S. and J.E. Michaels, “Computational efficiency of ultrasonic guided wave imaging algorithms,” Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on (IEEE) 58, no. 1 (2011): 244-248. 2. Sukun, K. et al., “Health monitoring of civil infrastructures using wireless sensor networks,” Information Processing in Sensor Networks, 2007. IPSN 2007. 6th International Symposium on. 2007. 254-263. 3. Kottapalli, V.A. et al., “Two-tiered wireless sensor network architecture for structural health monitoring,” Smart Structures and Materials, 2003. 8-19. 4. Lamb, H., “On waves in an elastic plate,” Proceedings of the Royal Society of London, Series A (The Royal Society) 93, no. 648 (1917): 114-128. 5. Lu, K.C., Y. Wang, J.P. Lynch, P.Y. Lin, C.H. Loh and K.H. Law. “Application of wireless sensors for structural health monitoring and control,” Proceedings of KKCNN Symposium on Civil Engineering, Taiwan. 2005. 6. Lynch, J.P. and K.J. Loh. “A summary review of wireless sensors and sensor networks for structural health monitoring,” Shock and Vibration Digest (Washington, DC: The Center) 38, no. 2, (2006): 91-130. 7. Michaels, J.E., “Detection, localization and characterization of damage in plates with an in situ array of spatially distributed ultrasonic sensors,” Smart Materials and Structures (IOP Publishing) 17, no. 3, (2008): 035035. 8. Pertsch, A., J.Y. Kim, Y. Wang and L.J. Jacobs, “An intelligent stand-alone ultrasonic device for monitoring local structural damage: implementation and preliminary experiments,” Smart Materials and Structures (IOP Publishing) 20, no. 1 (2011): 015022. 9. Wu, J., S. Yuan, S. Ji, G. Zhou, Y. Wang and Z. Wang. “Multi-agent system design and evaluation for collaborative wireless sensor network in large structure health monitoring,” Expert Systems with Applications 37, no. 3 (2010): 2028-2036. 10. Xiao, H. and H. Ogai. “A distributed localized decision self-health monitoring system in WSN developed for bridge diagnoses,” Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on. 2011. 23-28. 11. Xiao, H. et al., “The health monitoring system based on distributed data aggregation for {WSN} used in bridge diagnosis,” SICE Annual Conference 2010, Proceedings of. 2010. 2134-2138. 12. Zhao, X. et al., “Active health monitoring of an aircraft wing with an embedded piezoelectric sensor/actuator network: II. Wireless approaches,” Smart Materials and Structures (IOP Publishing) 16, no. 4 (2007): 1218.
Usage Shares
Total Views
39 Page Views
Total Shares
0 Tweets
0 PDF Downloads
0 Facebook Shares
Total Usage