A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery

Title
A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery
Authors
Keywords
Hybrid classification autoencoder, Semi-supervised learning, Fault diagnosis, Rotating machinery
Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 149, Issue -, Pages 107327
Publisher
Elsevier BV
Online
2020-10-16
DOI
10.1016/j.ymssp.2020.107327

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More