ANFIS Models for Fault Detection and Isolation in the Drive Train of a Wind Turbine

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dc.contributor.authorZemal, Zakariai
dc.contributor.authorCherroun, Lakhmissi
dc.contributor.authorHadroug, Hafaifa
dc.date.accessioned2023-05-16T13:14:56Z
dc.date.available2023-05-16T13:14:56Z
dc.date.issued2022-12-25
dc.descriptionArticleen_US
dc.description.abstractThe paper aims to improve the fault detection and isolation process in wind turbine systems by developing intelligent systems that can effectively identify and isolate faults. Specifically, the paper focuses on the drive train part of a horizontal axis wind turbine machine. The proposed fault diagnostic strategy is designed using an adaptive neural fuzzy inference system (ANFIS), which is a type of artificial neural network that combines the advantages of both fuzzy logic and neural networks. The ANFIS is used to generate residuals that occur after faults have been detected, and to determine the appropriate thresholds needed to correctly detect faults. The simulation results show that the proposed fault diagnostic strategy is effective in detecting faults in the drive train part of the wind turbine system. By using intelligent systems such as ANFIS, the fault detection process can be automated and streamlined, potentially reducing maintenance costs and improving the overall performance and efficiency of wind turbine systems.en_US
dc.identifier.citationZemal, Zakariai. Cherroun, Lakhmissi. Hadroug, Nadji. Hafaifa ,Ahmed. ANFIS Models for Fault Detection and Isolation in the Drive Train of a Wind Turbine. International Journal of Energetica. Vo7. No 01.27/05/2022.faculty of of technology. university el oued. [visited in ../../….]. available from [copy the link here]en_US
dc.identifier.issn2543-3717
dc.identifier.urihttp://dspace.univ-eloued.dz/handle/123456789/23165
dc.language.isoenen_US
dc.publisherجامعة الوادي - university of el oueden_US
dc.subjectWind Turbine, Drive Train, Fault Detection, ANFIS, Residual, Estimation.en_US
dc.titleANFIS Models for Fault Detection and Isolation in the Drive Train of a Wind Turbineen_US
dc.typeArticleen_US

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