A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0-Reference-Cited by-同舟云学术

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A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0

Published:2023 Issue: Volume:11 Page:12887-12910
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Azari Mehdi Saman¹^ORCID,Flammini Francesco²^ORCID,Santini Stefania³^ORCID,Caporuscio Mauro¹^ORCID

Affiliation:

1. Department of Computer Science and Media Technology, Linnaeus University, Växjo, Sweden

2. School of Innovation, Design, and Engineering, Mälardalens University, Eskilstuna, Sweden

3. Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10025748.pdf?arnumber=10025748

Reference199 articles.

1. Cross-domain intelligent fault classification of bearings based on tensor-aligned invariant subspace learning and two-dimensional convolutional neural networks

2. A new data-driven transferable remaining useful life prediction approach for bearing under different working conditions

3. A diagnosis framework based on domain adaptation for bearing fault diagnosis across diverse domains

4. Sparse filtering based domain adaptation for mechanical fault diagnosis

5. A novel geodesic flow kernel based domain adaptation approach for intelligent fault diagnosis under varying working condition

Cited by 20 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. Black Box Adversarial Reprogramming for Time Series Feature Classification in Ball Bearings’ Remaining Useful Life Classification;Machine Learning and Knowledge Extraction;2024-08-27

2. A new approach: ordinal predictive maintenance with ensemble binary decomposition (OPMEB);Turkish Journal of Electrical Engineering and Computer Sciences;2024-07-26

3. A multi-order moment matching-based unsupervised domain adaptation with application to cross-working condition fault diagnosis of rolling bearings;Structural Health Monitoring;2024-07-25

4. Artificial intelligence an essential factor for the benefit of companies: systematic review of the literature;Cogent Engineering;2024-07-21

5. Predictive Maintenance and Real Time Monitoring using IoT and Cloud Computing;2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN);2024-07-03

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