Fault Diagnosis of Laminar Cooling Roller Motor Based on Morphological Recognition and Combination Patterns Mining of Multicurrent Signatures-Reference-Cited by-同舟云学术

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Fault Diagnosis of Laminar Cooling Roller Motor Based on Morphological Recognition and Combination Patterns Mining of Multicurrent Signatures

Published:2023 Issue: Volume:72 Page:1-15
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Ma Tianyu¹^ORCID,Liu Siya¹^ORCID,Liu Jinping²^ORCID,Zheng Zhiwei¹^ORCID,Li Zhipeng¹^ORCID,Gui Weihua³^ORCID

Affiliation:

1. Department of Electronics, School of Physics and Electronics, Hunan Normal University, Hunan, Changsha, China

2. Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education), Hunan Normal University, Changsha, Hunan, China

3. School of Automation, Central South University, Changsha, Hunan, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10059133.pdf?arnumber=10059133

Reference41 articles.

1. Object Detection With Deep Learning: A Review

2. Siamese Time Series and Difference Networks for Performance Monitoring in the Froth Flotation Process

3. Speech Recognition Using Deep Neural Networks: A Systematic Review

4. Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning

5. Analysis of Permanent Magnet Synchronous Motor Fault Diagnosis Based on Learning

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