Real-time nondestructive structural health monitoring using support vector machines and wavelets

Bulut A., Singh A., Shin P., Fountain T., Jasso H., Yan L., ...More

Conference on Advanced Sensor Technologies for Nondestructive Evaluation and Structural Health Monitoring, California, United States Of America, 8 - 10 March 2005, vol.5770, pp.180-189 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 5770
  • Doi Number: 10.1117/12.597685
  • City: California
  • Country: United States Of America
  • Page Numbers: pp.180-189
  • Keywords: decision support systems, classification in sensor networks, signal processing of raw sensor data
  • Acibadem Mehmet Ali Aydinlar University Affiliated: Yes


We present an alternative to visual inspection for detecting damage to civil infrastructure. We describe a real-time decision support system for nondestructive health monitoring. The system is instrumented by an integrated network of wireless sensors mounted on civil infrastructures such as bridges, highways, and commercial and industrial facilities. To address scalability and power consumption issues related to sensor networks, we propose a three-tier system that uses wavelets to adaptively reduce the streaming data spatially and temporally. At the sensor level, measurement data is temporally compressed before being sent upstream to intermediate communication nodes. There, correlated data from multiple sensors is combined and sent to the operation center for further reduction and interpretation. At each level, the compression ratio can be adaptively changed via wavelets.