4.7 Article

Active-sensing platform for structural health monitoring: Development and deployment

期刊

出版社

SAGE PUBLICATIONS LTD
DOI: 10.1177/1475921716642171

关键词

embedded sensing; sensor diagnostics; multi-scale sensing; active-sensing; electromechanical impedance

资金

  1. Department of Energy through the Laboratory Directed Research and Development program at Los Alamos National Laboratory
  2. Leading Foreign Research Institute Recruitment Program through the National Research Foundation of Korea - Ministry of Education, Science and Technology [2011-0030065]
  3. Defense Acquisition Program Administration
  4. Agency for Defense Development [UD130058JD]

向作者/读者索取更多资源

Embedded sensing for structural health monitoring is a rapidly expanding field, propelled by algorithmic advances in structural health monitoring and the ever-shrinking size and cost of electronic hardware necessary for its implementation. Although commercial systems are available to perform the relevant tasks, they are usually bulky and/or expensive because of their high degree of general utility to a wider range of applications. As a result, multiple separate devices may be required in order to obtain the same results that could be obtained with a structural health monitoring-specific device. This work presents the development and deployment of a versatile, Wireless Active-Sensing Platform, designed for the particular needs of embedded sensing for multi-scale structural health monitoring. The Wireless Active-Sensing Platform combines a conventional data acquisition ability to record voltage output (e.g. from strain or acceleration transducers) with ultrasonic guided wave-based active-sensing, and a seamlessly integrated impedance measurement mode, enabling impedance-based structural health monitoring and piezoelectric sensor diagnostics to reduce the potential for false positives in damage identification. The motivation, capabilities, and hardware design for the Wireless Active-Sensing Platform are reviewed, and three deployment examples are presented, each demonstrating an important aspect of embedded sensing for structural health monitoring.

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