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Experimental Study of Thin Film Sensor Networks for Wind Turbine Blade Damage Detection.
- Source :
-
AIP Conference Proceedings . 2017, Vol. 1806 Issue 1, p1-10. 10p. 4 Diagrams, 2 Graphs. - Publication Year :
- 2017
-
Abstract
- Damage detection of wind turbine blades is difficult due to their complex geometry and large size, for which large deployment of sensing systems is typically not economical. A solution is to develop and deploy dedicated sensor networks fabricated from inexpensive materials and electronics. The authors have recently developed a novel skin-type strain gauge for measuring strain over very large surfaces. The skin, a type of large-area electronics, is constituted from a network of soft elastomeric capacitors. The sensing system is analogous to a biological skin, where local strain can be monitored over a global area. In this paper, we propose the utilization of a dense network of soft elastomeric capacitors to detect, localize, and quantify damage on wind turbine blades. We also leverage mature off-the-shelf technologies, in particular resistive strain gauges, to augment such dense sensor network with high accuracy data at key locations, therefore constituting a hybrid dense sensor network. The proposed hybrid dense sensor network is installed inside a wind turbine blade model, and tested in a wind tunnel to simulate an operational environment. Results demonstrate the ability of the hybrid dense sensor network to detect, localize, and quantify damage. [ABSTRACT FROM AUTHOR]
- Subjects :
- *THIN film sensors
*WIND turbine blades
*SENSOR networks
*STRAIN gages
*ELASTOMERS
Subjects
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 1806
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 121317598
- Full Text :
- https://doi.org/10.1063/1.4974617