Fault diagnosis of the 10MW Floating Offshore Wind Turbine Benchmark: A mixed model and signal-based approach
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DOI: 10.1016/j.renene.2020.06.130
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- Liu, Yichao & Li, Sunwei & Yi, Qian & Chen, Daoyi, 2016. "Developments in semi-submersible floating foundations supporting wind turbines: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 433-449.
- Chen, Jiahao & Hu, Zhiqiang & Liu, Geliang & Wan, Decheng, 2019. "Coupled aero-hydro-servo-elastic methods for floating wind turbines," Renewable Energy, Elsevier, vol. 130(C), pages 139-153.
- Levitt, Andrew C. & Kempton, Willett & Smith, Aaron P. & Musial, Walt & Firestone, Jeremy, 2011. "Pricing offshore wind power," Energy Policy, Elsevier, vol. 39(10), pages 6408-6421, October.
- Bakdi, Azzeddine & Kouadri, Abdelmalek & Mekhilef, Saad, 2019. "A data-driven algorithm for online detection of component and system faults in modern wind turbines at different operating zones," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 546-555.
- deCastro, M. & Salvador, S. & Gómez-Gesteira, M. & Costoya, X. & Carvalho, D. & Sanz-Larruga, F.J. & Gimeno, L., 2019. "Europe, China and the United States: Three different approaches to the development of offshore wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 55-70.
- Cho, Seongpil & Gao, Zhen & Moan, Torgeir, 2018. "Model-based fault detection, fault isolation and fault-tolerant control of a blade pitch system in floating wind turbines," Renewable Energy, Elsevier, vol. 120(C), pages 306-321.
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Cited by:
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- Gonzalez Silva, Jean & Ferrari, Riccardo & van Wingerden, Jan-Willem, 2023. "Wind farm control for wake-loss compensation, thrust balancing and load-limiting of turbines," Renewable Energy, Elsevier, vol. 203(C), pages 421-433.
- Zemali, Zakaria & Cherroun, Lakhmissi & Hadroug, Nadji & Hafaifa, Ahmed & Iratni, Abdelhamid & Alshammari, Obaid S. & Colak, Ilhami, 2023. "Robust intelligent fault diagnosis strategy using Kalman observers and neuro-fuzzy systems for a wind turbine benchmark," Renewable Energy, Elsevier, vol. 205(C), pages 873-898.
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- Arturo Y. Jaen-Cuellar & David A. Elvira-Ortiz & Roque A. Osornio-Rios & Jose A. Antonino-Daviu, 2022. "Advances in Fault Condition Monitoring for Solar Photovoltaic and Wind Turbine Energy Generation: A Review," Energies, MDPI, vol. 15(15), pages 1-36, July.
- Truong, Hoai Vu Anh & Dang, Tri Dung & Vo, Cong Phat & Ahn, Kyoung Kwan, 2022. "Active control strategies for system enhancement and load mitigation of floating offshore wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
- Sarah Barber & Luiz Andre Moyses Lima & Yoshiaki Sakagami & Julian Quick & Effi Latiffianti & Yichao Liu & Riccardo Ferrari & Simon Letzgus & Xujie Zhang & Florian Hammer, 2022. "Enabling Co-Innovation for a Successful Digital Transformation in Wind Energy Using a New Digital Ecosystem and a Fault Detection Case Study," Energies, MDPI, vol. 15(15), pages 1-32, August.
- Rahimilarki, Reihane & Gao, Zhiwei & Jin, Nanlin & Zhang, Aihua, 2022. "Convolutional neural network fault classification based on time-series analysis for benchmark wind turbine machine," Renewable Energy, Elsevier, vol. 185(C), pages 916-931.
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Keywords
Fault diagnosis; Floating offshore wind turbine; Model-based scheme; Signal-based scheme; FAST simulation;All these keywords.
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