A new data-driven transferable remaining useful life prediction approach for bearing under different working conditions

Published 2020 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
A new data-driven transferable remaining useful life prediction approach for bearing under different working conditions
Authors
Keywords
Transfer learning, Hidden Markov model, Remaining useful life estimation
Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 139, Issue -, Pages 106602
Publisher
Elsevier BV
Online
2020-01-09
DOI
10.1016/j.ymssp.2019.106602

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find Funding. Review Successful Grants.

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

Explore

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
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.