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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ASME/BATH 2017 Symposium on Fluid Power and Motion Control
October 16–19, 2017
Sarasota, Forida, USA
Conference Sponsors:
- Fluid Power Systems and Technology Division
ISBN:
978-0-7918-5833-2
PROCEEDINGS PAPER
Model-Based Estimation of Gas Leakage for Fluid Power Accumulators in Wind Turbines Available to Purchase
Jesper Liniger,
Jesper Liniger
Aalborg University, Esbjerg, Denmark
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Henrik C. Pedersen,
Henrik C. Pedersen
Aalborg University, Aalborg East, Denmark
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Mohsen Soltani
Mohsen Soltani
Aalborg University, Esbjerg, Denmark
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Jesper Liniger
Aalborg University, Esbjerg, Denmark
Henrik C. Pedersen
Aalborg University, Aalborg East, Denmark
Mohsen Soltani
Aalborg University, Esbjerg, Denmark
Paper No:
FPMC2017-4253, V001T01A024; 10 pages
Published Online:
December 4, 2017
Citation
Liniger, J, Pedersen, HC, & Soltani, M. "Model-Based Estimation of Gas Leakage for Fluid Power Accumulators in Wind Turbines." Proceedings of the ASME/BATH 2017 Symposium on Fluid Power and Motion Control. ASME/BATH 2017 Symposium on Fluid Power and Motion Control. Sarasota, Forida, USA. October 16–19, 2017. V001T01A024. ASME. https://doi.org/10.1115/FPMC2017-4253
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