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Proceedings Paper

Thin film sensor network for condition assessment of wind turbine blades
Author(s): Simon Laflamme; Hussam Saleem; Chinde Venkatesh; Umesh Vaidya; Partha Sarkar; Heather Sauder
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Paper Abstract

Existing sensing solutions facilitating continuous condition assessment of wind turbine blades are limited by a lack of scalability and clear link signal-to-prognosis. With recent advances in conducting polymers, it is now possible to deploy networks of thin film sensors over large areas, enabling low cost sensing of large-scale systems. Here, we propose to use a novel sensing skin consisting of a network of soft elastomeric capacitors (SECs). Each SEC acts as a surface strain gage transducing local strain into measurable changes in capacitance. Using surface strain data facilitates the extraction of physics-based features from the signals that can be used to conduct condition assessment. We investigate the performance of an SEC network at detecting damages. Diffusion maps are constructed from the time series data, and changes in point-wise diffusion distances evaluated to determine the presence of damage. Results are benchmarked against time-series data produced from off-the-shelf resistive strain gauges. This paper presents data from a preliminary study. Results show that the SECs are promising, but the capability to perform damage detection is currently reduced by the presence of parasitic noise in the signal.

Paper Details

Date Published: 8 March 2014
PDF: 8 pages
Proc. SPIE 9061, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014, 906116 (8 March 2014); doi: 10.1117/12.2045425
Show Author Affiliations
Simon Laflamme, Iowa State Univ. (United States)
Hussam Saleem, Iowa State Univ. (United States)
Chinde Venkatesh, Iowa State Univ. (United States)
Umesh Vaidya, Iowa State Univ. (United States)
Partha Sarkar, Iowa State Univ. (United States)
Heather Sauder, Iowa State Univ. (United States)

Published in SPIE Proceedings Vol. 9061:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014
Jerome P. Lynch; Kon-Well Wang; Hoon Sohn, Editor(s)

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