Piezoelectric active sensing techniques for damage detection on wind turbine blades

Gyuhae Park; Kevin M. Farinholt; Stuart G. Taylor; Charles R. Farrar

doi:10.1117/12.882001

28 April 2011 Piezoelectric active sensing techniques for damage detection on wind turbine blades

Gyuhae Park, Kevin M. Farinholt, Stuart G. Taylor, Charles R. Farrar

Proceedings Volume 7979, Industrial and Commercial Applications of Smart Structures Technologies 2011; 79790K (2011) https://doi.org/10.1117/12.882001
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2011, San Diego, California, United States

Abstract

This paper presents the performance of a variety of structural health monitoring (SHM) techniques, based on the use of piezoelectric active sensors, to determine the structural integrity of a 9m CX-100 wind turbine blade (developed by Sandia National Laboratory). First, the dynamic characterization of a CX-100 blade is performed using piezoelectric transducers, where the results are compared to those by conventional accelerometers. Several SHM techniques, including Lamb wave propagations, frequency response functions, and time series based methods are then utilized to analyze the condition of the wind turbine blade. The main focus of this research is to assess and construct a performance matrix to compare the performance of each method in identifying incipient damage, with a special consideration given the issues related to field deployment. Experiments are conducted on a stationary, full length CX-100 wind turbine blade. This examination is a precursor for planned full-scale fatigue testing of the blade and subsequent tests to be performed on an operational CX-100 Rotor Blade to be flown in the field.

Citation Download Citation

Gyuhae Park, Kevin M. Farinholt, Stuart G. Taylor, and Charles R. Farrar "Piezoelectric active sensing techniques for damage detection on wind turbine blades", Proc. SPIE 7979, Industrial and Commercial Applications of Smart Structures Technologies 2011, 79790K (28 April 2011); https://doi.org/10.1117/12.882001

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