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Energies 2016, 9(1), 40; doi:10.3390/en9010040

A New Fault Location Approach for Acoustic Emission Techniques in Wind Turbines

Ingenium Research Group, Department of Business Management, University of Castilla-La Mancha, Ciudad Real 13071, Spain
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Academic Editor: Frede Blaabjerg
Received: 30 October 2015 / Revised: 2 December 2015 / Accepted: 5 January 2016 / Published: 12 January 2016
(This article belongs to the Special Issue Wind Turbine 2015)
View Full-Text   |   Download PDF [1721 KB, uploaded 12 January 2016]   |  

Abstract

The renewable energy industry is undergoing continuous improvement and development worldwide, wind energy being one of the most relevant renewable energies. This industry requires high levels of reliability, availability, maintainability and safety (RAMS) for wind turbines. The blades are critical components in wind turbines. The objective of this research work is focused on the fault detection and diagnosis (FDD) of the wind turbine blades. The FDD approach is composed of a robust condition monitoring system (CMS) and a novel signal processing method. CMS collects and analyses the data from different non-destructive tests based on acoustic emission. The acoustic emission signals are collected applying macro-fiber composite (MFC) sensors to detect and locate cracks on the surface of the blades. Three MFC sensors are set in a section of a wind turbine blade. The acoustic emission signals are generated by breaking a pencil lead in the blade surface. This method is used to simulate the acoustic emission due to a breakdown of the composite fibers. The breakdown generates a set of mechanical waves that are collected by the MFC sensors. A graphical method is employed to obtain a system of non-linear equations that will be used for locating the emission source. This work demonstrates that a fiber breakage in the wind turbine blade can be detected and located by using only three low cost sensors. It allows the detection of potential failures at an early stages, and it can also reduce corrective maintenance tasks and downtimes and increase the RAMS of the wind turbine. View Full-Text
Keywords: acoustic emission; wind turbine; fault detection and diagnosis; macro-fiber composite; non-destructive testing acoustic emission; wind turbine; fault detection and diagnosis; macro-fiber composite; non-destructive testing
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Gómez Muñoz, C.Q.; García Márquez, F.P. A New Fault Location Approach for Acoustic Emission Techniques in Wind Turbines. Energies 2016, 9, 40.

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