Research on Fault Diagnosis of Mine Ventilator Bearing based on Cross Entropy Algorithm-Reference-Cited by-同舟云学术

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Research on Fault Diagnosis of Mine Ventilator Bearing based on Cross Entropy Algorithm

Published:2020-10-16 Issue: Volume: Page:
ISSN:
Container-title:2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
language:
Short-container-title:

Author:

Bian Li¹,Sun Hongna²,He Hui¹,Liu Chengyang³,Guan Zhongzhi⁴

Affiliation:

1. School of Electronic Information Engineering, Guangdong Ocean University,Zhanjiang,524088

2. School of Electrical and Electronic Information Engineering, Heilongjiang University of Science and Technology,Harbin,150022

3. School of Electrical and Control Engineering, Heilongjiang University of Science and Technology,Harbin,150022

4. School of Architecture and Civil Engineering, Heilongjiang University of Science and Technology,Harhin,150022

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9337559/9337493/09337697.pdf?arnumber=9337697

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fault diagnosis of mine main ventilator based on multi-eigenvalue selection and data fusion;Engineering Applications of Artificial Intelligence;2024-07

2. Fault Diagnosis of Rolling Bearings in Primary Mine Fans under Sample Imbalance Conditions;Entropy;2023-08-18

3. Fault Diagnosis of Mine Ventilator Bearing Based on Improved Variational Mode Decomposition and Density Peak Clustering;Machines;2022-12-26

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