Interactive Hybrid Model for Remaining Useful Life Prediction With Uncertainty Quantification of Bearing in Nuclear Circulating Water Pump-Reference-Cited by-同舟云学术

Interactive Hybrid Model for Remaining Useful Life Prediction With Uncertainty Quantification of Bearing in Nuclear Circulating Water Pump

Published:2024-02 Issue:2 Volume:20 Page:2154-2166
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Cheng Wei¹^ORCID,Xie Shushuai¹^ORCID,Xing Ji²^ORCID,Nie Zelin¹^ORCID,Chen Xuefeng¹^ORCID,Liu Yilong¹^ORCID,Liu Xue¹^ORCID,Huang Qian²^ORCID,Zhang Rongyong²^ORCID

Affiliation:

1. State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China

2. China Nuclear Power Engineering Company, Ltd., Beijing, China

Funder

National Key Research and Development Program of China

Innovative Scientific Program of China National Nuclear Corporation

K. C. Wong Education Foundation

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10411967/10158933.pdf?arnumber=10158933

Reference40 articles.

1. Enhanced Frequency Band Entropy Method for Fault Feature Extraction of Rolling Element Bearings

2. Sparse Elitist Group Lasso Denoising in Frequency Domain for Bearing Fault Diagnosis

3. AFARN: Domain Adaptation for Intelligent Cross-Domain Bearing Fault Diagnosis in Nuclear Circulating Water Pump

4. Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network

5. Bayesian Convolutional Neural Networks for Remaining Useful Life Prognostics of Solenoid Valves With Uncertainty Estimations

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