Noise-Aware Sparse Gaussian Processes and Application to Reliable Industrial Machinery Health Monitoring-Reference-Cited by-同舟云学术

Noise-Aware Sparse Gaussian Processes and Application to Reliable Industrial Machinery Health Monitoring

Published:2023-04 Issue:4 Volume:19 Page:5995-6005
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Yang Jingyu¹^ORCID,Yue Zuogong¹^ORCID,Yuan Ye¹^ORCID

Affiliation:

1. Key Laboratory of Image Processing and Intelligent Control, Ministry of Education and School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China

Funder

National Key R&D Program of China

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/ielx7/9424/10081096/09864068.pdf?arnumber=9864068

Reference47 articles.

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2. Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis

3. Large-Scale Heteroscedastic Regression via Gaussian Process

4. Fault diagnosis of gas turbine based on partly interpretable convolutional neural networks

5. Gaussian process priors with uncertain inputs application to multiple-step ahead time series forecasting;girard;Adv Neural Inf Process Syst,2002

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