Mixed-Up Experience Replay for Adaptive Online Condition Monitoring-Reference-Cited by-同舟云学术

Mixed-Up Experience Replay for Adaptive Online Condition Monitoring

Published:2024-02 Issue:2 Volume:71 Page:1979-1986
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Russell Matthew¹^ORCID,Wang Peng²^ORCID,Liu Shaopeng³^ORCID,Jawahir I. S.⁴

Affiliation:

1. Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY, USA

2. Department of Electrical and Computer Engineering and the Department of Mechanical and Aerospace Engineering, University of Kentucky, Lexington, KY, USA

3. GE Research, Niskayuna, NY, USA

4. Institute for Sustainable Manufacturing and the Department of Mechanical and Aerospace Engineering, University of Kentucky, Lexington, KY, USA

Funder

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

https://ieeexplore.ieee.org/ielam/41/10223597/10083059-aam.pdf

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4. A Deep Adversarial Transfer Learning Network for Machinery Emerging Fault Detection

5. Barlow Twins: Self-supervised learning via redundancy reduction;zbontar;Proc 38th Int Conf Mach Learn,0

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