DMCA
Energy Harvesting for Structural Health Monitoring Sensor Networks (2008)
| Venue: | Journal of Infrastructure Systems |
| Citations: | 43 - 3 self |
BibTeX
@ARTICLE{Park08energyharvesting,
author = {Gyuhae Park and Tajana Rosing and Michael D. Todd and Charles R. Farrar and William Hodgkiss},
title = {Energy Harvesting for Structural Health Monitoring Sensor Networks},
journal = {Journal of Infrastructure Systems},
year = {2008}
}
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Abstract
This paper reviews the development of energy harvesting for low-power embedded structural health monitoring (SHM) sensing systems. A statistical pattern recognition paradigm for SHM is first presented and the concept of energy harvesting for embedded sensing systems is addressed with respect to the data acquisition portion of this paradigm. Next, various existing and emerging sensing modalities used for SHM and their respective power requirements are summarized followed by a discussion of SHM sensor network paradigms, power requirements for these networks and power optimization strategies. Various approaches to energy harvesting and energy storage are discussed and limitations associated with the current technology are addressed. The paper concludes by defining some future research directions that are aimed at transitioning the concept of energy harvesting for embedded SHM sensing systems from laboratory research to field-deployed engineering prototypes. Finally, it is noted that much of the technology discussed herein is applicable to powering any type of low-power embedded sensing system regardless of the application. 1.
Keyphrases
energy harvesting structural health monitoring sensor network data acquisition portion various approach low-power embedded structural health monitoring power requirement future research direction respective power requirement field-deployed engineering prototype system regardless statistical pattern recognition paradigm shm sensor network paradigm laboratory research power optimization strategy energy storage current technology
