Campus Units

Aerospace Engineering, Civil, Construction and Environmental Engineering, Electrical and Computer Engineering, Center for Nondestructive Evaluation (CNDE)

Document Type

Conference Proceeding

Conference

SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring

Publication Version

Published Version

Publication Date

3-8-2014

Journal or Book Title

Proceedings of SPIE

Volume

9061

Issue

906116

First Page

906116-1

Last Page

906116-8

Research Focus Area

Geotechnical/Materials Engineering, Structural Engineering

DOI

10.1117/12.2045425

Conference Title

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014

Conference Date

March 9-13, 2014

City

San Diego, CA

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.

Comments

This proceeding is published as Simon Laflamme, Hussam Saleem, Chinde Venkatesh, Umesh Vaidya, Partha Sarkar, Heather Sauder, "Thin film sensor network for condition assessment of wind turbine blades", Proc. SPIE 9061, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014, 906116 (8 March 2014); doi: 10.1117/12.2045425. Posted with permission.

Copyright Owner

Society of Photo-Optical Instrumentation Engineers (SPIE)

Language

en

File Format

application/pdf

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