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

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Resumé

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. The method uses Multiresolution Signal Decomposition (MSD) based on wavelets for feature extraction from a~single fluid pressure measurement located close to the accumulator. Gas leakage is shown to create increased variations in this pressure signal. The Root Mean Square (RMS) of the detail coefficient Level 9 from the MSD is found as the most sensitive and robust fault indicator of gas leakage. The method is verified on an experimental setup allowing for the replication of the conditions for accumulators in wind turbines. Robustness is tested in a multi-fault environment where gas and external fluid leakage occurs simultaneously. In total, 24 experiments are performed, which show that the method is sensitive to gas leakage in the desired range and can be isolated from external fluid leakage. Additionally, the robustness to other operating conditions, such as wind speeds between rated and cut-off, turbulence intensity and ambient temperature is evaluated via simulations of a pitch system in a wind turbine using the Fatigue, Aerodynamics, Structures and Turbulence program (FAST). Simulation shows that robustness is affected at low ambient temperatures, however, detection is permitted in the range of 22-60 degC.
OriginalsprogEngelsk
Artikelnummer331
TidsskriftEnergies
Vol/bind10
Udgave nummer3
Antal sider18
ISSN1996-1073
DOI
StatusUdgivet - mar. 2017

Fingerprint

Leakage (fluid)
Wind Turbine
Leakage
Wind turbines
Fluid
Fluids
Gases
Robustness
Multiresolution
Turbulence
Fault
Hydraulic accumulators
Decomposition
Decompose
Wind Speed
Fault Detection
Pressure measurement
Fault detection
Aerodynamics
Hydraulics

Citer dette

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title = "Signal-based Gas Leakage Detection for Fluid Power Accumulators in Wind Turbines",
abstract = "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. The method uses Multiresolution Signal Decomposition (MSD) based on wavelets for feature extraction from a~single fluid pressure measurement located close to the accumulator. Gas leakage is shown to create increased variations in this pressure signal. The Root Mean Square (RMS) of the detail coefficient Level 9 from the MSD is found as the most sensitive and robust fault indicator of gas leakage. The method is verified on an experimental setup allowing for the replication of the conditions for accumulators in wind turbines. Robustness is tested in a multi-fault environment where gas and external fluid leakage occurs simultaneously. In total, 24 experiments are performed, which show that the method is sensitive to gas leakage in the desired range and can be isolated from external fluid leakage. Additionally, the robustness to other operating conditions, such as wind speeds between rated and cut-off, turbulence intensity and ambient temperature is evaluated via simulations of a pitch system in a wind turbine using the Fatigue, Aerodynamics, Structures and Turbulence program (FAST). Simulation shows that robustness is affected at low ambient temperatures, however, detection is permitted in the range of 22-60 degC.",
keywords = "Wind turbine pitch system;, Fluid power, Piston accumulator, Fault Detection and Isolation (FDI), Wavelet transform, Leakage",
author = "Jesper Liniger and Nariman Sepehri and {N. Soltani}, Mohsen and Pedersen, {Henrik Clemmensen}",
year = "2017",
month = "3",
doi = "10.3390/en10030331",
language = "English",
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Signal-based Gas Leakage Detection for Fluid Power Accumulators in Wind Turbines. / Liniger, Jesper; Sepehri, Nariman; N. Soltani, Mohsen; Pedersen, Henrik Clemmensen.

I: Energies, Bind 10, Nr. 3, 331, 03.2017.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Signal-based Gas Leakage Detection for Fluid Power Accumulators in Wind Turbines

AU - Liniger, Jesper

AU - Sepehri, Nariman

AU - N. Soltani, Mohsen

AU - Pedersen, Henrik Clemmensen

PY - 2017/3

Y1 - 2017/3

N2 - 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. The method uses Multiresolution Signal Decomposition (MSD) based on wavelets for feature extraction from a~single fluid pressure measurement located close to the accumulator. Gas leakage is shown to create increased variations in this pressure signal. The Root Mean Square (RMS) of the detail coefficient Level 9 from the MSD is found as the most sensitive and robust fault indicator of gas leakage. The method is verified on an experimental setup allowing for the replication of the conditions for accumulators in wind turbines. Robustness is tested in a multi-fault environment where gas and external fluid leakage occurs simultaneously. In total, 24 experiments are performed, which show that the method is sensitive to gas leakage in the desired range and can be isolated from external fluid leakage. Additionally, the robustness to other operating conditions, such as wind speeds between rated and cut-off, turbulence intensity and ambient temperature is evaluated via simulations of a pitch system in a wind turbine using the Fatigue, Aerodynamics, Structures and Turbulence program (FAST). Simulation shows that robustness is affected at low ambient temperatures, however, detection is permitted in the range of 22-60 degC.

AB - 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. The method uses Multiresolution Signal Decomposition (MSD) based on wavelets for feature extraction from a~single fluid pressure measurement located close to the accumulator. Gas leakage is shown to create increased variations in this pressure signal. The Root Mean Square (RMS) of the detail coefficient Level 9 from the MSD is found as the most sensitive and robust fault indicator of gas leakage. The method is verified on an experimental setup allowing for the replication of the conditions for accumulators in wind turbines. Robustness is tested in a multi-fault environment where gas and external fluid leakage occurs simultaneously. In total, 24 experiments are performed, which show that the method is sensitive to gas leakage in the desired range and can be isolated from external fluid leakage. Additionally, the robustness to other operating conditions, such as wind speeds between rated and cut-off, turbulence intensity and ambient temperature is evaluated via simulations of a pitch system in a wind turbine using the Fatigue, Aerodynamics, Structures and Turbulence program (FAST). Simulation shows that robustness is affected at low ambient temperatures, however, detection is permitted in the range of 22-60 degC.

KW - Wind turbine pitch system;

KW - Fluid power

KW - Piston accumulator

KW - Fault Detection and Isolation (FDI)

KW - Wavelet transform

KW - Leakage

U2 - 10.3390/en10030331

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JO - Energies

JF - Energies

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