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Open AccessArticle

A New Approach for Fault Detection, Location and Diagnosis by Ultrasonic Testing

1
Ingenium Research Group, Castilla-La Mancha University, 13001 Ciudad Real, Spain
2
School of Architecture, Engineering and Design, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain
*
Author to whom correspondence should be addressed.
Energies 2020, 13(5), 1192; https://doi.org/10.3390/en13051192
Received: 27 January 2020 / Revised: 25 February 2020 / Accepted: 27 February 2020 / Published: 5 March 2020
(This article belongs to the Special Issue Maintenance Management of Wind Turbines)
Wind turbine blades are constantly submitted to different types of particles such as dirt, ice, etc., as well as all the different environmental parameters that affect the behaviour and efficiency of the energy generation system. These parameters can cause faults to the wind turbine blades, modifying their behaviour due, for example, to the turbulence. A new method is presented in this paper based on cross-correlations to determine the presence of delamination in the blades. The experiments were conducted in two real wind turbine blades to analyse the fault and non-fault blades using ultrasonic guided waves. Finally, the energy analysis of the signal based on wavelet transforms allowed to determine energies abrupt changes in the correlation of the signals and to locate the faults. View Full-Text
Keywords: fault detection and diagnosis; wavelet transforms; non-destructive tests; guided waves; wind turbine blade fault detection and diagnosis; wavelet transforms; non-destructive tests; guided waves; wind turbine blade
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García Marquez, F.P.; Gómez Muñoz, C.Q. A New Approach for Fault Detection, Location and Diagnosis by Ultrasonic Testing. Energies 2020, 13, 1192.

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