Importance of temporal preserving latent analysis for latent variable models in fault diagnostics of rotating machinery-Reference-Cited by-同舟云学术

Importance of temporal preserving latent analysis for latent variable models in fault diagnostics of rotating machinery

Published:2022-04 Issue: Volume:168 Page:108663
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Balshaw Ryan^ORCID,Heyns P. Stephan,Wilke Daniel N.,Schmidt Stephan

Funder

Eskom Holdings SOC Ltd

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference61 articles.

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4. Deep learning and its applications to machine health monitoring;Zhao;Mech. Syst. Signal Process.,2019

5. Applications of machine learning to machine fault diagnosis: A review and roadmap;Lei;Mech. Syst. Signal Process.,2020

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