Detection and classification of faults in pitch-regulated wind turbine generators using normal behaviour models based on performance curves

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• 作者：Ran Bi ; ^{ran.bi@gcu.ac.uk}Author Vitae ; Chengke Zhou ^{C.Zhou@gcu.ac.uk}Author Vitae ; Donald M. Hepburn ^{D.M.Hepburn@gcu.ac.uk}Author Vitae
• 关键词：Condition monitoring ; Wind turbine generator ; Pitch faults ; Performance curves ; Normal behaviour model
• 刊名：Renewable Energy
• 出版年：2017
• 出版时间：May 2017
• 年：2017
• 卷：105
• 期：Complete
• 页码：674-688
• 全文大小：4165 K
• 卷排序：105

文摘

Propose normal behaviour models based on performance curves to detect WTG faults. Examine WTG performance under the normal conditions and with pitch faults. Demonstrate the feasibility of the proposed approach based on performance curves. Validate the criteria for electrical pitch system fault detection. Prove the advantages of the proposed approach over the ANN/ANFIS based approaches.