Model-based Estimation of Gas Leakage for Fluid Power Accumulators in Wind Turbines

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

1 Citation (Scopus)

Resumé

The fluid power accumulator is a high-risk component in the safety shutdown system of most modern wind turbines. Recent studies of failures in wind turbines have shown a high failure rate of such accumulators. This paper proposes an estimation method for detecting one of the most common faults for accumulators, namely gas leakage. The method utilizes an Extended Kalman Filter for joint state and parameter estimation with special attention to limiting the use of sensors to those commonly used in wind turbines. The precision of the method is investigated on an experimental setup which allows for operation of the accumulator similar to the conditions in a turbine. The results show that gas leakage is indeed detectable during start-up of the turbine and robust behavior is achieved in a multi-fault environment where both gas and external fluid leakage occur simultaneously. The estimation precision is shown to be sensitive to initial conditions for the gas temperature and volume.
OriginalsprogDansk
TitelProceedings of ASME/BATH 2017 Symposium on Fluid Power and Motion Control
Antal sider10
ForlagAmerican Society of Mechanical Engineers
Publikationsdatookt. 2017
ArtikelnummerFPMC2017-4253
ISBN (Elektronisk)978-0-7918-5833-2
DOI
StatusUdgivet - okt. 2017
BegivenhedASME/BATH 2017 Symposium on Fluid Power & Motion Control - Lido Beach Resport, Sarasota, USA
Varighed: 16 okt. 201719 okt. 2017
http://www.asmeconferences.org/FPMC2017/

Konference

KonferenceASME/BATH 2017 Symposium on Fluid Power & Motion Control
LokationLido Beach Resport
LandUSA
BySarasota
Periode16/10/201719/10/2017
Internetadresse

Citer dette

Liniger, J., Pedersen, H. C., & N. Soltani, M. (2017). Model-based Estimation of Gas Leakage for Fluid Power Accumulators in Wind Turbines. I Proceedings of ASME/BATH 2017 Symposium on Fluid Power and Motion Control [FPMC2017-4253] American Society of Mechanical Engineers. https://doi.org/10.1115/FPMC2017-4253
Liniger, Jesper ; Pedersen, Henrik Clemmensen ; N. Soltani, Mohsen. / Model-based Estimation of Gas Leakage for Fluid Power Accumulators in Wind Turbines. Proceedings of ASME/BATH 2017 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2017.
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title = "Model-based Estimation of Gas Leakage for Fluid Power Accumulators in Wind Turbines",
abstract = "The fluid power accumulator is a high-risk component in the safety shutdown system of most modern wind turbines. Recent studies of failures in wind turbines have shown a high failure rate of such accumulators. This paper proposes an estimation method for detecting one of the most common faults for accumulators, namely gas leakage. The method utilizes an Extended Kalman Filter for joint state and parameter estimation with special attention to limiting the use of sensors to those commonly used in wind turbines. The precision of the method is investigated on an experimental setup which allows for operation of the accumulator similar to the conditions in a turbine. The results show that gas leakage is indeed detectable during start-up of the turbine and robust behavior is achieved in a multi-fault environment where both gas and external fluid leakage occur simultaneously. The estimation precision is shown to be sensitive to initial conditions for the gas temperature and volume.",
author = "Jesper Liniger and Pedersen, {Henrik Clemmensen} and {N. Soltani}, Mohsen",
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Liniger, J, Pedersen, HC & N. Soltani, M 2017, Model-based Estimation of Gas Leakage for Fluid Power Accumulators in Wind Turbines. i Proceedings of ASME/BATH 2017 Symposium on Fluid Power and Motion Control., FPMC2017-4253, American Society of Mechanical Engineers, ASME/BATH 2017 Symposium on Fluid Power & Motion Control, Sarasota, USA, 16/10/2017. https://doi.org/10.1115/FPMC2017-4253

Model-based Estimation of Gas Leakage for Fluid Power Accumulators in Wind Turbines. / Liniger, Jesper; Pedersen, Henrik Clemmensen; N. Soltani, Mohsen.

Proceedings of ASME/BATH 2017 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2017. FPMC2017-4253.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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N2 - The fluid power accumulator is a high-risk component in the safety shutdown system of most modern wind turbines. Recent studies of failures in wind turbines have shown a high failure rate of such accumulators. This paper proposes an estimation method for detecting one of the most common faults for accumulators, namely gas leakage. The method utilizes an Extended Kalman Filter for joint state and parameter estimation with special attention to limiting the use of sensors to those commonly used in wind turbines. The precision of the method is investigated on an experimental setup which allows for operation of the accumulator similar to the conditions in a turbine. The results show that gas leakage is indeed detectable during start-up of the turbine and robust behavior is achieved in a multi-fault environment where both gas and external fluid leakage occur simultaneously. The estimation precision is shown to be sensitive to initial conditions for the gas temperature and volume.

AB - The fluid power accumulator is a high-risk component in the safety shutdown system of most modern wind turbines. Recent studies of failures in wind turbines have shown a high failure rate of such accumulators. This paper proposes an estimation method for detecting one of the most common faults for accumulators, namely gas leakage. The method utilizes an Extended Kalman Filter for joint state and parameter estimation with special attention to limiting the use of sensors to those commonly used in wind turbines. The precision of the method is investigated on an experimental setup which allows for operation of the accumulator similar to the conditions in a turbine. The results show that gas leakage is indeed detectable during start-up of the turbine and robust behavior is achieved in a multi-fault environment where both gas and external fluid leakage occur simultaneously. The estimation precision is shown to be sensitive to initial conditions for the gas temperature and volume.

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BT - Proceedings of ASME/BATH 2017 Symposium on Fluid Power and Motion Control

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Liniger J, Pedersen HC, N. Soltani M. Model-based Estimation of Gas Leakage for Fluid Power Accumulators in Wind Turbines. I Proceedings of ASME/BATH 2017 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers. 2017. FPMC2017-4253 https://doi.org/10.1115/FPMC2017-4253