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

Fausto Pedro García Marquez and Carlos Quiterio Gómez Muñoz
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Fausto Pedro García Marquez: Ingenium Research Group, Castilla-La Mancha University, 13001 Ciudad Real, Spain
Carlos Quiterio Gómez Muñoz: School of Architecture, Engineering and Design, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain

Energies, 2020, vol. 13, issue 5, 1-13

Abstract: 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.

Keywords: fault detection and diagnosis; wavelet transforms; non-destructive tests; guided waves; wind turbine blade (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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