Estimation of prepressure in hydraulic piston accumulators for industrial wind turbines using multi-model adaptive estimation

Fredrik Fogh Sørensen; Malte Severin Rosencrone von Benzon; Sigurd Stoltenberg Klemmensen; Kenneth Schmidt; Jesper Liniger

doi:10.1115/FPMC2019-1665

Estimation of prepressure in hydraulic piston accumulators for industrial wind turbines using multi-model adaptive estimation

Fredrik Fogh Sørensen, Malte Severin Rosencrone von Benzon, Sigurd Stoltenberg Klemmensen, Kenneth Schmidt, Jesper Liniger

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

2 Citationer (Scopus)

Abstract

Failures in pitch systems may cause fatal damage to industrial wind turbines. One of the main reasons for failures in pitch systems is gas leakages of hydraulic accumulators. Due to the limited accessibility of offshore turbines, automated fault detection algorithms potentially increase turbine availability. The
gas leakage is detected without downtime by using a modelbased approach together with a bank and extended Kalman filters (EKF’s). The residual is analyzed using multi-model adaptive estimation (MMAE). The applied accumulator model relies on a thermal time constant describing the heat flux from the gas to the surroundings. The thermal time constant has been empirically derived from a prepressure of 50 to 172 bar. The fault detection algorithm is tested experimentally in a laboratory on a 25 liters piston accumulator using a load scenario obtained from real turbine data and a prepressure range of 50-140 bar. The Bank of EKF’s can classify the prepressure within a range and thereby detect if a gas leakage has occurred before it results
in failure.

Originalsprog	Engelsk
Titel	Proceedings of the ASME/BATH 2019 Symposium on Fluid Power and Motion Control
Antal sider	11
Forlag	American Society of Mechanical Engineers
Publikationsdato	dec. 2019
Artikelnummer	FPMC2019-1665
ISBN (Elektronisk)	9780791859339
DOI	https://doi.org/10.1115/FPMC2019-1665
Status	Udgivet - dec. 2019
Begivenhed	ASME/BATH 2019 Symposium on Fluid Power and Motion Control - Zota Beach Resort, Longboat Key, USA Varighed: 7 okt. 2019 → 9 okt. 2019 http://event.asme.org/FPMC

Konference

Konference	ASME/BATH 2019 Symposium on Fluid Power and Motion Control
Lokation	Zota Beach Resort
Land/Område	USA
By	Longboat Key
Periode	07/10/2019 → 09/10/2019
Internetadresse	http://event.asme.org/FPMC

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10.1115/FPMC2019-1665

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Design of Reliable Fluid Power Pitch Systems for Wind Turbines
Liniger, J., 2018, Aalborg Universitetsforlag. 82 s.
Publikation: Ph.d.-afhandling

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Model-based Estimation of Gas Leakage for Fluid Power Accumulators in Wind Turbines
Liniger, J., Pedersen, H. C. & N. Soltani, M., okt. 2017, Proceedings of ASME/BATH 2017 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 10 s. FPMC2017-4253
Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

3 Citationer (Scopus)
Reliability Based Design of Fluid Power Pitch Systems for Wind Turbines
Liniger, J., N. Soltani, M., Pedersen, H. C., Carroll, J. & Sepehri, N., maj 2017, I: Wind Energy. 20, 6, s. 1097-1110 14 s.
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Citationsformater

Sørensen, F. F., von Benzon, M. S. R., Klemmensen, S. S., Schmidt, K., & Liniger, J. (2019). Estimation of prepressure in hydraulic piston accumulators for industrial wind turbines using multi-model adaptive estimation. I Proceedings of the ASME/BATH 2019 Symposium on Fluid Power and Motion Control Artikel FPMC2019-1665 American Society of Mechanical Engineers. https://doi.org/10.1115/FPMC2019-1665

@inproceedings{e52ebafea0a9490b9d96d9989fc2075a,

title = "Estimation of prepressure in hydraulic piston accumulators for industrial wind turbines using multi-model adaptive estimation",

abstract = "Failures in pitch systems may cause fatal damage to industrial wind turbines. One of the main reasons for failures in pitch systems is gas leakages of hydraulic accumulators. Due to the limited accessibility of offshore turbines, automated fault detection algorithms potentially increase turbine availability. Thegas leakage is detected without downtime by using a modelbased approach together with a bank and extended Kalman filters (EKF{\textquoteright}s). The residual is analyzed using multi-model adaptive estimation (MMAE). The applied accumulator model relies on a thermal time constant describing the heat flux from the gas to the surroundings. The thermal time constant has been empirically derived from a prepressure of 50 to 172 bar. The fault detection algorithm is tested experimentally in a laboratory on a 25 liters piston accumulator using a load scenario obtained from real turbine data and a prepressure range of 50-140 bar. The Bank of EKF{\textquoteright}s can classify the prepressure within a range and thereby detect if a gas leakage has occurred before it resultsin failure.",

keywords = "Hydraulic accumulator, Wind turbine pitch system;, Leakage Detection, Model-based FDD, Experimental work, Fluid power, MMAE, Simulations, Field test, Wind turbines pitch system, Leak detection, Extended Kalman filter, Model-based",

author = "S{\o}rensen, {Fredrik Fogh} and {von Benzon}, {Malte Severin Rosencrone} and Klemmensen, {Sigurd Stoltenberg} and Kenneth Schmidt and Jesper Liniger",

year = "2019",

month = dec,

doi = "10.1115/FPMC2019-1665",

language = "English",

booktitle = "Proceedings of the ASME/BATH 2019 Symposium on Fluid Power and Motion Control",

publisher = "American Society of Mechanical Engineers",

address = "United States",

note = "ASME/BATH 2019 Symposium on Fluid Power and Motion Control, FPMC2019 ; Conference date: 07-10-2019 Through 09-10-2019",

url = "http://event.asme.org/FPMC",

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Sørensen, FF , von Benzon, MSR, Klemmensen, SS, Schmidt, K & Liniger, J 2019, Estimation of prepressure in hydraulic piston accumulators for industrial wind turbines using multi-model adaptive estimation. i Proceedings of the ASME/BATH 2019 Symposium on Fluid Power and Motion Control., FPMC2019-1665, American Society of Mechanical Engineers, ASME/BATH 2019 Symposium on Fluid Power and Motion Control, Longboat Key, Florida, USA, 07/10/2019. https://doi.org/10.1115/FPMC2019-1665

Estimation of prepressure in hydraulic piston accumulators for industrial wind turbines using multi-model adaptive estimation. / Sørensen, Fredrik Fogh ; von Benzon, Malte Severin Rosencrone; Klemmensen, Sigurd Stoltenberg et al.
Proceedings of the ASME/BATH 2019 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2019. FPMC2019-1665.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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AU - Sørensen, Fredrik Fogh

AU - von Benzon, Malte Severin Rosencrone

AU - Klemmensen, Sigurd Stoltenberg

AU - Schmidt, Kenneth

AU - Liniger, Jesper

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N2 - Failures in pitch systems may cause fatal damage to industrial wind turbines. One of the main reasons for failures in pitch systems is gas leakages of hydraulic accumulators. Due to the limited accessibility of offshore turbines, automated fault detection algorithms potentially increase turbine availability. Thegas leakage is detected without downtime by using a modelbased approach together with a bank and extended Kalman filters (EKF’s). The residual is analyzed using multi-model adaptive estimation (MMAE). The applied accumulator model relies on a thermal time constant describing the heat flux from the gas to the surroundings. The thermal time constant has been empirically derived from a prepressure of 50 to 172 bar. The fault detection algorithm is tested experimentally in a laboratory on a 25 liters piston accumulator using a load scenario obtained from real turbine data and a prepressure range of 50-140 bar. The Bank of EKF’s can classify the prepressure within a range and thereby detect if a gas leakage has occurred before it resultsin failure.

AB - Failures in pitch systems may cause fatal damage to industrial wind turbines. One of the main reasons for failures in pitch systems is gas leakages of hydraulic accumulators. Due to the limited accessibility of offshore turbines, automated fault detection algorithms potentially increase turbine availability. Thegas leakage is detected without downtime by using a modelbased approach together with a bank and extended Kalman filters (EKF’s). The residual is analyzed using multi-model adaptive estimation (MMAE). The applied accumulator model relies on a thermal time constant describing the heat flux from the gas to the surroundings. The thermal time constant has been empirically derived from a prepressure of 50 to 172 bar. The fault detection algorithm is tested experimentally in a laboratory on a 25 liters piston accumulator using a load scenario obtained from real turbine data and a prepressure range of 50-140 bar. The Bank of EKF’s can classify the prepressure within a range and thereby detect if a gas leakage has occurred before it resultsin failure.

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KW - Wind turbine pitch system;

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KW - Field test

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M3 - Article in proceeding

BT - Proceedings of the ASME/BATH 2019 Symposium on Fluid Power and Motion Control

PB - American Society of Mechanical Engineers

T2 - ASME/BATH 2019 Symposium on Fluid Power and Motion Control

Y2 - 7 October 2019 through 9 October 2019

ER -

Estimation of prepressure in hydraulic piston accumulators for industrial wind turbines using multi-model adaptive estimation

Abstract

Konference

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Publikation

Design of Reliable Fluid Power Pitch Systems for Wind Turbines

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

Reliability Based Design of Fluid Power Pitch Systems for Wind Turbines

Citationsformater