Domain Adaptation With Self-Supervised Learning and Feature Clustering for Intelligent Fault Diagnosis-Reference-Cited by-同舟云学术

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Domain Adaptation With Self-Supervised Learning and Feature Clustering for Intelligent Fault Diagnosis

Published:2022 Issue: Volume: Page:1-14
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Lu Nannan¹^ORCID,Xiao Hanhan²,Ma Zhanguo³,Yan Tong¹,Han Min⁴^ORCID

Affiliation:

1. School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China

2. Department of Shenzhen TCL Digital Technology Company Ltd, Shenzhen, China

3. School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China

4. School of Control Science and Engineering, Dalian University of Technology, Dalian, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09950721.pdf?arnumber=9950721

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1. A Novel Open Set Adaptation Network for Marine Machinery Fault Diagnosis;Journal of Marine Science and Engineering;2024-08-13

2. Few-Shot Learning-Based Fault Diagnosis Using Prototypical Contrastive-Based Domain Adaptation Under Variable Working Conditions;IEEE Sensors Journal;2024-08-01

3. Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions;IEEE Transactions on Industrial Informatics;2024-04

4. Consequential Advancements of Self-Supervised Learning (SSL) in Deep Learning Contexts;Mathematics;2024-03-03

5. General feature spatial location and distance-based unknown Detection: A universal domain adaptation fault diagnosis framework of rotating Machinery;Mechanical Systems and Signal Processing;2024-02

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