Research of Mechanical Fault SVM Intelligent Recognition Based on EEMD Sample Entropy

Research of Mechanical Fault SVM Intelligent Recognition Based on EEMD Sample Entropy

The extraction of fault information is the key of fault intelligent recognition of support vector machine for rolling bearing. Because of the non-adaptive and mode mixture of wavelet transform and empirical mode decomposition, ensemble empirical mode decomposition (EEMD) and sample entropy have been...

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Bibliographic Details
Main Authors: Jiali Zhao, Yuan Liu, Junwei Lou, Chibing Hu
Format: Article
Language:English
Published: IFSA Publishing, S.L. 2014-09-01
Series:Sensors & Transducers
Subjects:
EEMD
Sample entropy
SVM
Rolling bearing
Intelligent diagnosis.
Online Access:http://www.sensorsportal.com/HTML/DIGEST/september_2014/Vol_179/P_2413.pdf

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http://www.sensorsportal.com/HTML/DIGEST/september_2014/Vol_179/P_2413.pdf

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