期刊
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
卷 15, 期 4, 页码 413-422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
- Department of Energy through the Laboratory Directed Research and Development program at Los Alamos National Laboratory
- Leading Foreign Research Institute Recruitment Program through the National Research Foundation of Korea - Ministry of Education, Science and Technology [2011-0030065]
- Defense Acquisition Program Administration
- Agency for Defense Development [UD130058JD]
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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