Specialization improved nonlocal means to detect periodic impulse feature for generator bearing fault identification

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• 作者：Jinglong Chen^a ; ^{jlstrive2008@163.com} ; Jun Pan^a ; Chunlin Zhang^b ; Xiaoyu Luo^c ; Zitong Zhou^a ; Biao Wang^a
• 关键词：Fault diagnosis ; Generator bearing ; Nonlocal means ; Order tracking
• 刊名：Renewable Energy
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：103
• 期：Complete
• 页码：448-467
• 全文大小：2929 K
• 卷排序：103

文摘

New fault diagnosis method is developed for generator bearing fault diagnosis of wind turbine using measured vibration data. The proposed method is studied for vibration signal denoising without destroying the original frequency spectrum structure. Generator bearing pitting fault case and crack fault case are studied to demonstrate the effectiveness of proposed method.