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Energies 2017, 10(3), 331;

Signal-Based Gas Leakage Detection for Fluid Power Accumulators in Wind Turbines

Department of Energy Technology, Aalborg University, Esbjerg, DK-6700, Denmark
Department of Mechanical Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
Department of Energy Technology, Aalborg University, Aalborg East, DK-9220, Denmark
Author to whom correspondence should be addressed.
Academic Editor: Simon J. Watson
Received: 16 January 2017 / Accepted: 2 March 2017 / Published: 8 March 2017
(This article belongs to the Special Issue Wind Turbine 2017)
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This paper describes the development and application of a signal-based fault detection method for identifying gas leakage in hydraulic accumulators used in wind turbines [...] View Full-Text
Keywords: windturbinepitchsystem;fluidpower;pistonaccumulator;FaultDetectionandIsolation (FDI); wavelet transform; leakage windturbinepitchsystem;fluidpower;pistonaccumulator;FaultDetectionandIsolation (FDI); wavelet transform; leakage

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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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Liniger, J.; Sepehri, N.; Soltani, M.; Pedersen, H.C. Signal-Based Gas Leakage Detection for Fluid Power Accumulators in Wind Turbines. Energies 2017, 10, 331.

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