Manifold regularized stacked autoencoders-based feature learning for fault detection in industrial processes

Title
Manifold regularized stacked autoencoders-based feature learning for fault detection in industrial processes
Authors
Keywords
Industrial process, Fault detection, Deep learning, Stacked autoencoders, Manifold regularization
Journal
JOURNAL OF PROCESS CONTROL
Volume 92, Issue -, Pages 119-136
Publisher
Elsevier BV
Online
2020-06-16
DOI
10.1016/j.jprocont.2020.06.001

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