Fault decision of computer numerical control machine system using grey clustering analysis and rough set theory-Reference-Cited by-同舟云学术

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Fault decision of computer numerical control machine system using grey clustering analysis and rough set theory

Published:2019-05 Issue:5 Volume:11 Page:168781401985284
ISSN:1687-8140
Container-title:Advances in Mechanical Engineering
language:en
Short-container-title:Advances in Mechanical Engineering

Author:

Ren Xianlin¹²,Chen Leo³^ORCID,Li DeShun¹,Pang ZeZhao¹

Affiliation:

1. School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. Institute of Electronic and Information Engineering of UESTC in Guangdong, Dongguan, China

3. College of Engineering, Swansea University, Swansea, UK

Funder

national natural science foundation of china

natural science foundation of guangdong province

Publisher

SAGE Publications

Subject

Mechanical Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/1687814019852846

Reference27 articles.

1. Fuzzy and grey theories in failure mode and effect analysis for tanker equipment failure prediction

2. A new method in failure mode and effects analysis based on evidential reasoning

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1. The vibration reduction index allocation method for aircraft vibration comfort design;Mechanics of Advanced Materials and Structures;2023-11-16

2. Simulation of Mechatronics Integrated Control Path Constraint Model Based on Grey Clustering;2023 International Conference on Computer Simulation and Modeling, Information Security (CSMIS);2023-11-15

3. Cutting-state identification of machine tools based on improved Dempster-Shafer evidence theory;The International Journal of Advanced Manufacturing Technology;2022-03-18

4. Decision fusion method for fault diagnosis based on closeness and Dempster-Shafer theory;Journal of Intelligent & Fuzzy Systems;2021-06-21

5. Material–Structure–Process–Performance Integration Multi-Objective Optimization Design for Solid Rivet Joint;Journal of Materials Engineering and Performance;2021-05-05

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