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Energy Research
2025-2025
US
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UA

Fault diagnosis and prognosis capabilities for wind turbine hydraulic pitch systems
descriptionPublicationkeyboard_double_arrow_right Article , Preprint 2025Embargo end date: 01 Jan 2023Publisher:Elsevier BVFunded by:EC | RELIAWIND
EC| RELIAWIND
Authors: Alessio Dallabona; Mogens Blanke; Henrik C. Pedersen; Dimitrios Papageorgiou;
doi: 10.1016/j.ymssp.2024.111941 , 10.48550/arxiv.2312.09018
arXiv: 2312.09018
doi: 10.1016/j.ymssp.2024.111941 , 10.48550/arxiv.2312.09018
arXiv: 2312.09018
Wind energy is the leading non-hydro renewable technology. Increasing reliability is a key factor in reducing the downtime of high-power wind turbines installed in remote off-shore places, where maintenance is costly and less reactive. Defects in the pitch system are responsible for up to 20% of a wind turbine downtime.Thus, monitoring such defects is essential for avoiding it. This paper presents a generic assessment of the diagnosis capabilities in hydraulic pitch systems, which are used in high-power wind turbines. A mathematical model of the non-linear system dynamics is presented along with a description of the most frequent faults that occur. Structural analysis is used to assess which defects can be detected in the pitch system. The structural properties are furthermore explored to investigate the possibility of reducing the amount of sensors without compromising the fault diagnosis capabilities. Robustness to model uncertainty is finally addressed and generic principles for estimating the detectable magnitude of wear and tear are presented.
Mechanical Systems a...arrow_drop_down
Mechanical Systems and Signal Processing
Article . 2025 . Peer-reviewed
License: CC BY
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https://dx.doi.org/10.48550/ar...
Article . 2023
License: CC BY
Data sources: Datacite
arXiv.org e-Print Archive
Preprint . 2023
Data sources: arXiv.org e-Print Archive
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Mechanical Systems a...arrow_drop_down
Mechanical Systems and Signal Processing
Article . 2025 . Peer-reviewed
License: CC BY
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https://dx.doi.org/10.48550/ar...
Article . 2023
License: CC BY
Data sources: Datacite
arXiv.org e-Print Archive
Preprint . 2023
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Framework to select robust energy retrofit measures for residential communities
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Elsevier BVFunded by:NSF | CAREER: Intelligent Energ...
NSF| CAREER: Intelligent Energy Retrofit Decisions for Large-scale Residential Buildings
Authors: Lei Shu; Tianzhen Hong; Kaiyu Sun; Dong Zhao;
doi: 10.1016/j.enbuild.2024.115077
doi: 10.1016/j.enbuild.2024.115077
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Energy and Buildings
Article . 2025 . Peer-reviewed
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Energy and Buildings
Article . 2025 . Peer-reviewed
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The following results are related to Energy Research. Are you interested to view more results? Visit OpenAIRE - Explore.

32 Research products

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Fault diagnosis and prognosis capabilities for wind turbine hydraulic pitch systems
descriptionPublicationkeyboard_double_arrow_right Article , Preprint 2025Embargo end date: 01 Jan 2023Publisher:Elsevier BVFunded by:EC | RELIAWIND
EC| RELIAWIND
Authors: Alessio Dallabona; Mogens Blanke; Henrik C. Pedersen; Dimitrios Papageorgiou;
doi: 10.1016/j.ymssp.2024.111941 , 10.48550/arxiv.2312.09018
arXiv: 2312.09018
doi: 10.1016/j.ymssp.2024.111941 , 10.48550/arxiv.2312.09018
arXiv: 2312.09018
Wind energy is the leading non-hydro renewable technology. Increasing reliability is a key factor in reducing the downtime of high-power wind turbines installed in remote off-shore places, where maintenance is costly and less reactive. Defects in the pitch system are responsible for up to 20% of a wind turbine downtime.Thus, monitoring such defects is essential for avoiding it. This paper presents a generic assessment of the diagnosis capabilities in hydraulic pitch systems, which are used in high-power wind turbines. A mathematical model of the non-linear system dynamics is presented along with a description of the most frequent faults that occur. Structural analysis is used to assess which defects can be detected in the pitch system. The structural properties are furthermore explored to investigate the possibility of reducing the amount of sensors without compromising the fault diagnosis capabilities. Robustness to model uncertainty is finally addressed and generic principles for estimating the detectable magnitude of wear and tear are presented.
Mechanical Systems a...arrow_drop_down
Mechanical Systems and Signal Processing
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2023
License: CC BY
Data sources: Datacite
arXiv.org e-Print Archive
Preprint . 2023
Data sources: arXiv.org e-Print Archive
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Mechanical Systems a...arrow_drop_down
Mechanical Systems and Signal Processing
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2023
License: CC BY
Data sources: Datacite
arXiv.org e-Print Archive
Preprint . 2023
Data sources: arXiv.org e-Print Archive
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Framework to select robust energy retrofit measures for residential communities
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Elsevier BVFunded by:NSF | CAREER: Intelligent Energ...
NSF| CAREER: Intelligent Energy Retrofit Decisions for Large-scale Residential Buildings
Authors: Lei Shu; Tianzhen Hong; Kaiyu Sun; Dong Zhao;
doi: 10.1016/j.enbuild.2024.115077
doi: 10.1016/j.enbuild.2024.115077
Energy and Buildingsarrow_drop_down
Energy and Buildings
Article . 2025 . Peer-reviewed
License: Elsevier TDM
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Energy and Buildingsarrow_drop_down
Energy and Buildings
Article . 2025 . Peer-reviewed
License: Elsevier TDM
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Fault diagnosis and prognosis capabilities for wind turbine hydraulic pitch systems

Framework to select robust energy retrofit measures for residential communities

Fault diagnosis and prognosis capabilities for wind turbine hydraulic pitch systems

Framework to select robust energy retrofit measures for residential communities

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Fault diagnosis and prognosis capabilities for wind turbine hydraulic pitch systems

Framework to select robust energy retrofit measures for residential communities

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Fault diagnosis and prognosis capabilities for wind turbine hydraulic pitch systems

Framework to select robust energy retrofit measures for residential communities

Energy Research
2025-2025
US
EU
UA