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

被引:17
作者
Taylor, Stuart G. [1 ]
Raby, Eric Y. [1 ]
Farinholt, Kevin M. [1 ]
Park, Gyuhae [2 ]
Todd, Michael D. [3 ]
机构
[1] Los Alamos Natl Lab, Engn Inst, Los Alamos, NM USA
[2] Chonnam Natl Univ, Sch Mech Engn, Gwangju 505707, South Korea
[3] Univ Calif San Diego, Jacobs Sch Engn, Dept Struct Engn, La Jolla, CA 92093 USA
来源
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL | 2016年 / 15卷 / 04期
基金
新加坡国家研究基金会;
关键词
embedded sensing; sensor diagnostics; multi-scale sensing; active-sensing; electromechanical impedance; WIRELESS SENSOR NODE; DAMAGE LOCATION; CRACK DETECTION; DIAGNOSTICS;
D O I
10.1177/1475921716642171
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:413 / 422
页数:10
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