Academic Journal

Anomaly-based fault detection in wind turbine main bearings

التفاصيل البيبلوغرافية
العنوان: Anomaly-based fault detection in wind turbine main bearings
المؤلفون: Campoverde-Vilela, Lorena, Feijóo, Maria del Cisne, Vidal Seguí, Yolanda, Sampietro Saquicela, José Luis, Tutivén Gálvez, Christian
المساهمون: Universitat Politècnica de Catalunya. Departament de Matemàtiques, Universitat Politècnica de Catalunya. CoDAlab - Control, Dades i Intel·ligència Artificial
بيانات النشر: Copernicus Office
سنة النشر: 2023
المجموعة: Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
مصطلحات موضوعية: Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències, Àrees temàtiques de la UPC::Energies, Wind power plants, Artificial intelligence--Engineering applications, Parcs eòlics, Intel·ligència artificial--Aplicacions a l'enginyeria
الوصف: Renewable energy is a clean and inexhaustible source of energy, so every year interest in the study and the search for improvements in production increases. Wind energy is one of the most used sources of energy, and therefore the need for predictive maintenance management to guarantee the reliability and operability of each of the wind turbines has become a great study opportunity. In this work, a fault detection system is developed by applying an anomaly detector based on principal component analysis (PCA), in order to state early warnings of possible faults in the main bearing. For the development of the model, SCADA data from a wind park in operation are utilized. The results obtained allow detection of failures even months before the fatal breakdown occurs. This model requires (to be constructed) only the use of healthy SCADA data, without the need to obtain the fault history or install additional equipment or sensors that require greater investment. In conclusion, this proposed strategy provides a tool for the planning and execution of predictive maintenance within wind parks. ; Postprint (published version)
نوع الوثيقة: article in journal/newspaper
وصف الملف: 18 p.; application/pdf
اللغة: English
Relation: https://wes.copernicus.org/articles/8/557/2023/; http://hdl.handle.net/2117/387557
DOI: 10.5194/wes-8-557-2023
الاتاحة: http://hdl.handle.net/2117/387557
https://doi.org/10.5194/wes-8-557-2023
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International ; http://creativecommons.org/licenses/by-nc-nd/4.0/ ; Open Access
رقم الانضمام: edsbas.9CA9213B
قاعدة البيانات: BASE