Maximum margin classification based on flexible convex hulls for fault diagnosis of roller bearings-Reference-Cited by-同舟云学术

Maximum margin classification based on flexible convex hulls for fault diagnosis of roller bearings

Published:2016-01 Issue: Volume:66-67 Page:533-545
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Zeng Ming,Yang Yu,Zheng Jinde,Cheng Junsheng

Funder

National Natural Science Foundation of China

Hunan Provincial Innovation Foundation for Postgraduate

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference31 articles.

1. Fuzzy lattice classifier and its application to bearing fault diagnosis;Li;Appl. Soft Comput.,2012

2. Support-vector networks;Cortes;Mach. Learn.,1995

3. A fault diagnosis approach for roller bearing based on IMF envelope spectrum and SVM;Yang;Measurement,2007

4. Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine;Abbasion;Mech. Syst. Signal Process.,2007

5. Multi-fault diagnosis for rolling element bearings based on ensemble empirical mode decomposition and optimized support vector machines;Zhang;Mech. Syst. Signal Process.,2013

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