A Feature Fusion-Based Method for Remaining Useful Life Prediction of Rolling Bearings-Reference-Cited by-同舟云学术

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A Feature Fusion-Based Method for Remaining Useful Life Prediction of Rolling Bearings

Published:2023 Issue: Volume:72 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Liu Jie¹^ORCID,Yang Zian¹^ORCID,Xie Jingsong²^ORCID,Wang Ruijie¹^ORCID,Liu Shanhui¹^ORCID,Xi Darun³^ORCID

Affiliation:

1. School of Printing Packaging and Digital Media, Xi’an University of Technology, Xi’an, China

2. School of Traffic and Transportation Engineering, Central South University, Changsha, China

3. Shaanxi Beiren Printing Machinery Company Ltd., Weinan, China

Funder

National Natural Science Foundation of China

Natural Science Basic Research Program of Shaanxi

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10262179.pdf?arnumber=10262179

Reference42 articles.

1. Bearing internal load analysis and fatigue life estimation based on nonlinear dynamic model of a gear system

2. Remaining useful life prediction of – Lithium batteries based on principal component analysis and improved Gaussian process regression

3. A novel based-performance degradation indicator RUL prediction model and its application in rolling bearing

4. A New Method of Bearing Remaining Useful Life Based on Life Evolution and SE-ConvLSTM Neural Network

5. Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods

Cited by 4 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. Review of rolling bearings performance degradation trend prediction;Noise & Vibration Worldwide;2024-09-10

2. RTCA-Net: A New Framework for Monitoring the Wear Condition of Aero Bearing with a Residual Temporal Network under Special Working Conditions and Its Interpretability;Mathematics;2024-08-29

3. Advancements in bearing remaining useful life prediction methods: a comprehensive review;Measurement Science and Technology;2024-06-10

4. BTCAN: A Binary Trend-Aware Network for Industrial Edge Intelligence and Application in Aero-Engine RUL Prediction;IEEE Transactions on Instrumentation and Measurement;2024

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