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Article

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

1
Department of Energy Technology, Aalborg University, Esbjerg, DK-6700, Denmark
2
Department of Mechanical Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
3
Department of Energy Technology, Aalborg University, Aalborg East, DK-9220, Denmark
*
Author to whom correspondence should be addressed.
Academic Editor: Simon J. Watson
Energies 2017, 10(3), 331; https://doi.org/10.3390/en10030331
Received: 16 January 2017 / Accepted: 2 March 2017 / Published: 8 March 2017
(This article belongs to the Special Issue Wind Turbine 2017)
Note: In lieu of an abstract, this is an excerpt from the first page.

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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MDPI and ACS Style

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. https://doi.org/10.3390/en10030331

AMA Style

Liniger J, Sepehri N, Soltani M, Pedersen HC. Signal-Based Gas Leakage Detection for Fluid Power Accumulators in Wind Turbines. Energies. 2017; 10(3):331. https://doi.org/10.3390/en10030331

Chicago/Turabian Style

Liniger, Jesper; Sepehri, Nariman; Soltani, Mohsen; Pedersen, Henrik C. 2017. "Signal-Based Gas Leakage Detection for Fluid Power Accumulators in Wind Turbines" Energies 10, no. 3: 331. https://doi.org/10.3390/en10030331

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Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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