Anomaly Detection on Small Wind Turbine Blades Using Deep Learning Algorithms
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Cristian Velandia-Cardenas & Yolanda Vidal & Francesc Pozo, 2021. "Wind Turbine Fault Detection Using Highly Imbalanced Real SCADA Data," Energies, MDPI, vol. 14(6), pages 1-26, March.
- Ahmed Samour & Usman Mehmood & Magdalena Radulescu & Radu Alexandru Budu & Rares Mihai Nitu, 2023. "Examining the Role of Renewable Energy, Technological Innovation, and the Insurance Market in Environmental Sustainability in the United States: A Step toward COP26 Targets," Energies, MDPI, vol. 16(17), pages 1-15, August.
- Xu, Xiaofeng & Wei, Zhifei & Ji, Qiang & Wang, Chenglong & Gao, Guowei, 2019. "Global renewable energy development: Influencing factors, trend predictions and countermeasures," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Camila Correa-Jullian & Sergio Cofre-Martel & Gabriel San Martin & Enrique Lopez Droguett & Gustavo de Novaes Pires Leite & Alexandre Costa, 2022. "Exploring Quantum Machine Learning and Feature Reduction Techniques for Wind Turbine Pitch Fault Detection," Energies, MDPI, vol. 15(8), pages 1-29, April.
- Feng Dong & Yuling Pan, 2020. "Evolution of Renewable Energy in BRI Countries: A Combined Econometric and Decomposition Approach," IJERPH, MDPI, vol. 17(22), pages 1-18, November.
- Liu, Ruimiao & Liu, Zhongbing & Xiong, Wei & Zhang, Ling & Zhao, Chengliang & Yin, Yingde, 2024. "Performance simulation and optimization of building façade photovoltaic systems under different urban building layouts," Energy, Elsevier, vol. 288(C).
- Shahnazi, Rouhollah & Dehghan Shabani, Zahra, 2020. "Do renewable energy production spillovers matter in the EU?," Renewable Energy, Elsevier, vol. 150(C), pages 786-796.
- Weiming Liu & Yating Qiu & Lijiang Jia & Hang Zhou, 2022. "Carbon Emissions Trading and Green Technology Innovation—A Quasi-natural Experiment Based on a Carbon Trading Market Pilot," IJERPH, MDPI, vol. 19(24), pages 1-13, December.
- Pawan Kumar Singh & Alok Kumar Pandey & S. C. Bose, 2023. "A new grey system approach to forecast closing price of Bitcoin, Bionic, Cardano, Dogecoin, Ethereum, XRP Cryptocurrencies," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2429-2446, June.
- Imran Ali & Mohammad Naushad, 2023. "Determinants of Green Energy Technology Purchase Intention: An Analytical Study," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 375-382, July.
- Cuilin Li & Ya-Juan Du & Qiang Ji & Jiang-bo Geng, 2019. "Multiscale Market Integration and Nonlinear Granger Causality between Natural Gas Futures and Physical Markets," Sustainability, MDPI, vol. 11(19), pages 1-23, October.
- Alessandro Murgia & Robbert Verbeke & Elena Tsiporkova & Ludovico Terzi & Davide Astolfi, 2023. "Discussion on the Suitability of SCADA-Based Condition Monitoring for Wind Turbine Fault Diagnosis through Temperature Data Analysis," Energies, MDPI, vol. 16(2), pages 1-20, January.
- Lin, Boqiang & Wang, Yao, 2020. "Analyzing the elasticity and subsidy to reform the residential electricity tariffs in China," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 189-206.
- Małgorzata Rutkowska & Paweł Bartoszczuk & Uma Shankar Singh, 2021. "Management of Green Consumer Values in Renewable Energy Sources and Eco Innovation in India," Energies, MDPI, vol. 14(21), pages 1-17, October.
- Jorge Maldonado-Correa & Marcelo Valdiviezo-Condolo & Estefanía Artigao & Sergio Martín-Martínez & Emilio Gómez-Lázaro, 2024. "Classification of Highly Imbalanced Supervisory Control and Data Acquisition Data for Fault Detection of Wind Turbine Generators," Energies, MDPI, vol. 17(7), pages 1-20, March.
- Yijing Chu & Yingying Wang & Zucheng Zhang & Shengli Dai, 2022. "Decoupling of Economic Growth and Industrial Water Use in Hubei Province: From an Ecological–Economic Interaction Perspective," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
- Liobikienė, Genovaitė & Miceikienė, Astrida, 2022. "The role of financial, social and informational mechanisms on willingness to use bioenergy," Renewable Energy, Elsevier, vol. 194(C), pages 21-27.
- Wu, Xi & Wang, Yudong, 2021. "How does corporate investment react to oil prices changes? Evidence from China," Energy Economics, Elsevier, vol. 97(C).
- Dogan, Eyup & Chishti, Muhammad Zubair & Karimi Alavijeh, Nooshin & Tzeremes, Panayiotis, 2022. "The roles of technology and Kyoto Protocol in energy transition towards COP26 targets: Evidence from the novel GMM-PVAR approach for G-7 countries," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
- Wen-Hsiang Chiu & Wen-Cheng Lin & Chun-Nan Chen & Nien-Ping Chen, 2021. "Using an Analytical Hierarchy Process to Analyze the Development of the Green Energy Industry," Energies, MDPI, vol. 14(15), pages 1-15, July.
- Ankrah, Isaac & Lin, Boqiang, 2020. "Renewable energy development in Ghana: Beyond potentials and commitment," Energy, Elsevier, vol. 198(C).
- Jun Hao & Xiaolei Sun & Qianqian Feng, 2020. "A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm," Energies, MDPI, vol. 13(3), pages 1-25, January.
- Ana Rita Nunes & Hugo Morais & Alberto Sardinha, 2021. "Use of Learning Mechanisms to Improve the Condition Monitoring of Wind Turbine Generators: A Review," Energies, MDPI, vol. 14(21), pages 1-22, November.
More about this item
Keywords
deep learning; convolutional neural networks; small wind turbine blades; damage detection; transfer learning; VGG-19; Xception; AlexNet; ResNet-50; aerial imaging; turbine inspection;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:5:p:982-:d:1342099. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.