Linear maximum margin tensor classification based on flexible convex hulls for fault diagnosis of rolling bearings-Reference-Cited by-同舟云学术

Linear maximum margin tensor classification based on flexible convex hulls for fault diagnosis of rolling bearings

Published:2019-06 Issue: Volume:173 Page:62-73
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

He Zhiyi,Cheng Junsheng,Li Juan,Yang Yu

Funder

National Natural Science Foundation of China

Key Research and Development Program of Hunan Province, China

Collaborative Innovation Center of Intelligent New Energy Vehicle, China

Hunan Collaborative Innovation Center for Green Car, China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference43 articles.

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2. Quantitative and localization diagnosis of a defective ball bearing based on vertical-horizontal synchronization signal analysis;Cui;IEEE Trans. Ind. Electron.,2017

3. Bearing fault diagnosis using a whale optimization algorithm-optimized orthogonal matching pursuit with a combined time–frequency atom dictionary;Zhang;Mech. Syst. Signal Process.,2018

4. Step-by-step fuzzy diagnosis method for equipment based on symptom extraction and trivalent logic fuzzy diagnosis theory;Song;IEEE Trans. Fuzzy. Systems,2018

5. An improved envelope detection method using Particle Swarm Optimisation for rolling element bearing fault diagnosis;Tyagi;J. Comput. Des. Eng.,2017

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