Online Bearing Fault Diagnosis Based on a Novel Multiple Data Streams Transmission Scheme-Reference-Cited by-同舟云学术

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Online Bearing Fault Diagnosis Based on a Novel Multiple Data Streams Transmission Scheme

Published:2019 Issue: Volume:7 Page:66644-66654
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Tong Zhe^ORCID,Li Wei^ORCID,Zhang Bo^ORCID,Jiang Fan^ORCID,Zhou Gongbo^ORCID

Funder

National Key R&D Program of China

Natural Science Foundation of Jiangsu Province

Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08717646.pdf?arnumber=8717646

Cited by 8 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. Reduced-space Multistream Classification based on Multi-objective Evolutionary Optimization;IEEE Transactions on Evolutionary Computation;2023

2. A wavelet packet transform-based deep feature transfer learning method for bearing fault diagnosis under different working conditions;Measurement;2022-09

3. Online Bearing Fault Diagnosis Based on Packet Loss Influence-Inspired Retransmission Mechanism;Mathematics;2022-04-23

4. Smart Home Control and Management Based on Big Data Analysis;Computational Intelligence and Neuroscience;2022-02-10

5. Stray Flux Multi-Sensor for Stator Fault Detection in Synchronous Machines;Electronics;2021-09-20

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