Rolling bearing fault diagnosis and health assessment using EEMD and the adjustment Mahalanobis–Taguchi system-Reference-Cited by-同舟云学术

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Rolling bearing fault diagnosis and health assessment using EEMD and the adjustment Mahalanobis–Taguchi system

Published:2017-11-20 Issue:1 Volume:49 Page:147-159
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Chen Junxun¹^ORCID,Cheng Longsheng¹,Yu Hui²,Hu Shaolin³

Affiliation:

1. School of Economics and Management, Nanjing University of Science and Technology, Nanjing, China

2. The State Key laboratory of Astronautic Dynamic Xi'an Satellite Control Center, Xi'an, China

3. Automation School, Foshan University, Foshan, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2017.1397804

Reference28 articles.

1. A novel signal compression method based on optimal ensemble empirical mode decomposition for bearing vibration signals

2. Incipient mechanical fault detection based on multifractal and MTS methods

3. A lean model for performance assessment of machinery using second generation wavelet packet transform and Fisher criterion

4. EMD-based pulsed TIG welding process porosity defect detection and defect diagnosis using GA-SVM

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1. An efficient method for bearing fault diagnosis;Systems Science & Control Engineering;2024-03-19

2. Hidden Markov Models based intelligent health assessment and fault diagnosis of rolling element bearings;PLOS ONE;2024-02-07

3. A novel probabilistic linguistic multi-attribute decision-making method based on Mahalanobis–Taguchi system and fuzzy measure;Journal of the Operational Research Society;2023-03-21

4. A new hybrid prediction model of air quality index based on secondary decomposition and improved kernel extreme learning machine;Chemosphere;2022-10

5. Remaining Useful Life prediction of rolling bearings based on risk assessment and degradation state coefficient;ISA Transactions;2022-10

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