Gated Transient Fluctuation Dual Attention Unit Network for Long-Term Remaining Useful Life Prediction of Rotating Machinery Using IIoT-Reference-Cited by-同舟云学术

Gated Transient Fluctuation Dual Attention Unit Network for Long-Term Remaining Useful Life Prediction of Rotating Machinery Using IIoT

Published:2024-05-15 Issue:10 Volume:11 Page:18593-18604
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Li Shuaiyong¹^ORCID,Zhang Chao¹^ORCID,Liu Liang¹^ORCID,Zhang Xuyuntao¹^ORCID

Affiliation:

1. Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China

Funder

Science and Technology Research Project of Chongqing Education Commission

Special General Project for Chongqing’s Technological Innovation and Application Development

Chongqing Natural Science Foundation Project

Special Support for Chongqing’s Post-Doctoral Research Project

Open Fund of National Key Laboratory of Market Regulation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10528217/10428007.pdf?arnumber=10428007

Reference50 articles.

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

2. Intelligent Fault Identification for Industrial Internet of Things via Prototype-Guided Partial Domain Adaptation With Momentum Weight

3. Remaining Useful Life Prediction of IIoT-Enabled Complex Industrial Systems With Hybrid Fusion of Multiple Information Sources

4. DOWELL: Diversity-Induced Optimally Weighted Ensemble Learner for Predictive Maintenance of Industrial Internet of Things Devices

5. A Novel Prognostic Approach for RUL Estimation With Evolving Joint Prediction of Continuous and Discrete States

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