Product function correntropy and its application in rolling bearing fault identification

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• 作者：Yunxiao Fu^a ; ^b ; Limin Jia^a ; ^c ; ^{jialm@vip.sina.com} ; Yong Qin^a ; ^c ; Jie Yang^a
• 关键词：Local mean decomposition ; Product function correntropy ; Least squares support vector machine ; Rolling bearing ; Fault identifications
• 刊名：Measurement
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：97
• 期：Complete
• 页码：88-99
• 全文大小：3494 K
• 卷排序：97

文摘

Correntropy and correlation coefficient entropy are combined in AM-correntropy. AM-correntropy and local mean decomposition are combined in the fault feature. PFC and LSSVM are combined in intelligent fault recognition of rolling bearing. The superiority of PFC in cross-mixed bearing rotating situations are embodied.