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

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

Conference on Advanced Sensor Technologies for Nondestructive Evaluation and Structural Health Monitoring, California, Amerika Birleşik Devletleri, 8 - 10 Mart 2005, cilt.5770, ss.180-189 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 5770
  • Doi Numarası: 10.1117/12.597685
  • Basıldığı Şehir: California
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.180-189
  • Anahtar Kelimeler: decision support systems, classification in sensor networks, signal processing of raw sensor data
  • Acıbadem Mehmet Ali Aydınlar Üniversitesi Adresli: Hayır

Özet

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.