Gyu Hae Park

TL;DR: In this article, the authors evaluated the performance of the UPI system in reconstructing ultrasonic response images using the appropriate selection of the signal dictionary used for signal reconstruction, and performed an evaluation of compressed sensing technique's ability to reconstruct ultrasonic images using fewer measurements than would have been needed using traditional Nyquist-limited data collection techniques.

TL;DR: In this article, structural health monitoring (SHM) methods were applied to a 9-meter CX-100 wind turbine blade that underwent fatigue loading, and various data were collected between and during fatigue loading sessions.

TL;DR: In this article, a real-time structural health monitoring (SHM) system for operational research-scale wind turbine blades is presented, which includes measurements over multiple frequency ranges, in which diffuse ultrasonic waves are excited and recorded using an active sensing system, and the blades global ambient vibration response is recorded using a passive sensing system.

TL;DR: A suite of three signal processing algorithms are employed to improve the damage detection capability and include wavelet attenuation, correlation coefficients of power density spectra, and triangulation of reflected waves.

TL;DR: In this article, structural health monitoring (SHM) techniques using piezoelectric active materials are investigated for the development of wireless, low power sensors that interrogate sections of the wind turbine blade using Lamb wave propagation data, frequency response functions (FRFs), and time-series analysis methods.