A novel ensemble fuzzy model for degradation prognostics of rolling element bearings1-Reference-Cited by-同舟云学术

A novel ensemble fuzzy model for degradation prognostics of rolling element bearings1

Published:2019-10-25 Issue:4 Volume:37 Page:4449-4455
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Jiang Yu¹,Zhu Hua¹,Ding Cong¹,Pfeiffer Olivia²

Affiliation:

1. School of Mechatronic Engineering & Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, China University of Mining and Technology, Xuzhou, China

2. Department of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, MA, USA

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference33 articles.

1. Pavan Kumar Kankar, Life assessment and health monitoring of rolling element bearings: an experimental study;Sharma;Life Cycle Reliability and Safety Engineering,2018

2. Multi-dimensional variational mode decomposition for bearing-crack detection in wind turbines with large driving-speed variations;Li;Renewable Energy,2018

3. Friction prediction of rolling-sliding contact in mixed EHL;Zhang;Measurement,2017

4. Fault diagnosis of single-phase induction motor based on acoustic signals;Glowacz;Mechanical Systems and Signal Processing,2019

5. Jiang Y. , Li Z. , Zhang C. , Hu C. and Peng Z. , On the bi-dimensional variational decomposition applied to nonstationary vibration signals for rolling bearing crack detection in coal cutters, Measurement Science and Technology 2016(2). 065103.

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