Anomaly monitoring improves remaining useful life estimation of industrial machinery

Title
Anomaly monitoring improves remaining useful life estimation of industrial machinery
Authors
Keywords
Remaining Useful Life (RUL) estimation, Industrial prognostics and health management, Anomaly detection, Machine learning
Journal
JOURNAL OF MANUFACTURING SYSTEMS
Volume 56, Issue -, Pages 463-469
Publisher
Elsevier BV
Online
2020-07-14
DOI
10.1016/j.jmsy.2020.06.014

Ask authors/readers for more resources

Reprint

Contact the author

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

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started