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Proceedings Paper

Ultrasonic wireless health monitoring system for near real-time damage identification of structural components
Author(s): Sauvik Banerjee; Kyle Mitchell; Beshara Sholy
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Paper Abstract

This work aims at developing a compact and wireless structural health monitoring system (WSHM). The system samples ultrasonic wave propagation data, analyzes the collected data using a statistical damage index (SDI) approach and transmits the results to a remote location. The analysis provides an insight into the state of health of the structure under test as a function of time. The approach is designed to overcome the complexity and variability of the signals in the presence of damage as well as the geometric complexity of the structure, requiring minimal operator intervention. The approach establishes a baseline drawn from measurements done on an undamaged or partially damaged structure. This baseline is used to monitor for changes in the health of the structure. Damage indices are evaluated "instantly" by comparisons between the frequency response of the monitored structure and an unknown damage under the same ambient conditions. The approach is applied to identify several types of structural defects in steel girders and stiffened composite panels for different arrangements of the ultrasonic source and the ultrasonic receivers. The objectives are to deliver an early indication of the risk associated with the defect and to develop inspection and mitigation strategies to manage the risk using detailed, local, nondestructive evaluation of the areas identified with possible defects. The wireless data acquisition system and the automated data analysis tool developed under this work should improve the reliability of the defects detection capability and aid in the development of near real-time health monitoring systems for defects-critical structures.

Paper Details

Date Published: 21 April 2008
PDF: 8 pages
Proc. SPIE 6935, Health Monitoring of Structural and Biological Systems 2008, 69350A (21 April 2008); doi: 10.1117/12.775926
Show Author Affiliations
Sauvik Banerjee, Saint Louis Univ. (United States)
Kyle Mitchell, Saint Louis Univ. (United States)
Beshara Sholy, Saint Louis Univ. (United States)

Published in SPIE Proceedings Vol. 6935:
Health Monitoring of Structural and Biological Systems 2008
Tribikram Kundu, Editor(s)

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