dc.contributor
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor
Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.author
Peña Sánchez, Yerai
dc.contributor.author
Penalba, Markel
dc.contributor.author
Nava, Vicenzo
dc.contributor.author
Puig Cayuela, Vicenç
dc.date.accessioned
2026-03-26T06:05:46Z
dc.date.available
2026-03-26T06:05:46Z
dc.identifier
Peña, Y. [et al.]. Fault detection and isolation benchmark for floating offshore wind farms. A: International Conference on Control and Fault-Tolerant Systems. «2025 6th International Conference on Control and Fault-Tolerant Systems (SysTol) : 6-8 Oct. 2025». Institute of Electrical and Electronics Engineers (IEEE), 2025, p. 52-58. ISBN 978-1-6654-5771-2. DOI 10.1109/SysTol66549.2025.11267382 .
dc.identifier
978-1-6654-5771-2
dc.identifier
https://hdl.handle.net/2117/459376
dc.identifier
10.1109/SysTol66549.2025.11267382
dc.identifier.uri
https://hdl.handle.net/2117/459376
dc.description.abstract
© 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.description.abstract
This paper presents a benchmark for fault detection and isolation (FDI) in floating offshore wind farms, addressing the lack of standardized evaluation frameworks for this emerging technology. Developed using the FOWLTY simulator, the benchmark models a wind farm with seven floating turbines based on the NREL 5MW reference turbine and DeepCWind platform. It incorporates ten diverse wind scenarios (5-23 m/s) and realistic fault conditions, including sensor and actuator faults with variable severity and timing. The benchmark provides sensor measurements with injected noise, actuator reference signals, and evaluation metrics such as false alarm rate (FAR), missed detection rate (MDR), and correct isolation rate. By offering a modular Simulink environment and customizable datasets, this work enables reproducible comparisons of FDI methods while highlighting the unique dynamics of floating offshore systems. The benchmark is publicly available to support research in fault detection and fault-tolerant control for offshore wind energy.
dc.description.abstract
This work was not supported by any organization.
dc.description.abstract
Peer Reviewed
dc.description.abstract
Postprint (author's final draft)
dc.format
application/pdf
dc.publisher
Institute of Electrical and Electronics Engineers (IEEE)
dc.relation
https://ieeexplore.ieee.org/document/11267382
dc.subject
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject
Àrees temàtiques de la UPC::Energies::Energia eòlica
dc.subject
Fault tolerance
dc.subject
Software packages
dc.subject
Fault detection
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Fault tolerant systems
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Benchmark testing
dc.title
Fault detection and isolation benchmark for floating offshore wind farms
dc.type
Conference report
