A consistency regularization based semi-supervised learning approach for intelligent fault diagnosis of rolling bearing

Title
A consistency regularization based semi-supervised learning approach for intelligent fault diagnosis of rolling bearing
Authors
Keywords
Deep learning, Semi-supervised learning, Consistency regularization, Fault diagnosis
Journal
MEASUREMENT
Volume 165, Issue -, Pages 107987
Publisher
Elsevier BV
Online
2020-06-21
DOI
10.1016/j.measurement.2020.107987

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now