A new signal classification method based on EEMD and FCM and its application in bearing fault diagnosis

Applied Mechanics and Materials

Volumn 602-605, Issue , 2014, Pages 1803-1806

  Wang, Chao Jie ^a   Li, Hong Yi ^a   Xiang, Wei ^a   Zhao, Di ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Bearing fault diagnosis; EEMD; Energy ratio; FCM; Signal classification

Indexed keywords

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS;

BEARING FAULT DIAGNOSIS; EEMD; ENERGY RATIO; FCM; SIGNAL CLASSIFICATION;

SIGNAL PROCESSING;

EID: 84906493554     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.602-605.1803     Document Type: Conference Paper

References (3)

1. Z.H. Wu, N.E. Huang, "Ensemble empirical mode decomposition: a noise assisted data analysis method," Adv. Adapt. Data Anal., vol. 1, no. 1, pp. 1-41, Jan. 2009.
2. J.C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithm. New York, CA: Plenum Press, 1981.
3. Information on http://csegroups.case.edu/bearingdatacenter/pages/welcome-case-western-reserve-university-bearing-data-center-website.