A Novel Competitive Temporal Convolutional Network for Remaining Useful Life Prediction of Rolling Bearings-Reference-Cited by-同舟云学术

A Novel Competitive Temporal Convolutional Network 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:

Wang Wei¹^ORCID,Zhou Gongbo¹^ORCID,Ma Guoqing¹^ORCID,Yan Xiaodong¹^ORCID,Zhou Ping¹^ORCID,He Zhenzhi²^ORCID,Ma Tianbing³^ORCID

Affiliation:

1. Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China

2. School of Mechanical and Electrical Engineering, Jiangsu Normal University, Xuzhou, China

3. State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Huainan, China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Open Fund Project of State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10177757.pdf?arnumber=10177757

Reference40 articles.

1. Remaining useful life prediction of roller bearings based on improved 1D-CNN and simple recurrent unit

2. A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

3. Deep separable convolutional network for remaining useful life prediction of machinery

4. PRONOSTIA: An experimental platform for bearings accelerated degradation tests;javed;Proc IEEE Int Conf Prognostics Health Manag,2013

5. Remaining Useful Life Prediction Based on Improved Temporal Convolutional Network for Nuclear Power Plant Valves

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