A comparison of fuzzy clustering algorithms for bearing fault diagnosis-Reference-Cited by-同舟云学术

A comparison of fuzzy clustering algorithms for bearing fault diagnosis

Published:2018-06-22 Issue:6 Volume:34 Page:3565-3580
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Li Chuan¹,Cerrada Mariela²,Cabrera Diego²,Sanchez René Vinicio²,Pacheco Fannia³,Ulutagay Gözde⁴,Valente de Oliveira José⁵

Affiliation:

1. National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, China

2. Universidad Politécnica Salesiana, Cuenca, Ecuador

3. Université de Pau et des Pays de L’Adour, Anglet, France

4. Bahcesehir College of Science and Technology, Izmir, Turkye

5. National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, China, on Sabbatical Leave from CEOT, Universidade do Algarve, Portugal

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference28 articles.

1. Advances in Fuzzy Clustering and its Applications

2. Li C. , Valente de Oliveira J. , Cerrada M. , Pacheco F. , Cabrera D. , Vinicio Sanchez R. and Zurita G. , A systematicreview of fuzzy formalisms for bearing fault diagnosis,, Submitted, 2017.

3. Degradation assessment and fault diagnosis for roller bearing based on armodel and fuzzy cluster analysis;Jiang;Shock and Vibration,2011

4. Bearingfault detection using fuzzy C-means and hybrid C-means-subtractivealgorithms;Lotfan;2015 IEEE International Conference on FuzzySystems (FUZZ-IEEE),2015

5. Rolling bearing fault diagnosis method based on EEMD permutation entropy andfuzzy clustering, in pp;Han;2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC),2015

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