Development of Optimal Maintenance Strategies for Offshore Wind Turbine by using Artificial Neural Network

作者: Zafar Hameed , Kesheng Wang

DOI: 10.1260/0309-524X.36.3.353

关键词:

摘要: Nowadays offshore wind turbines are an emerging area of research in renewable energy fields. They penetrating the market with a very rapid scale which entails to address their availiblity issues novel and cost effective way. The maintenance activities for array farm complex environment due access, weather, logistic issues. A method has been proposed complexity intricacies planning formulation strategies by using neural network. approach consists undertaking clustering analysis then segregate similar based on results Self Organizing Map, (SOM) Then predict expected power output being part certain cluster help another Standard Back Propagation (SBP) Based results, number implications have outlined regarding how ...

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