An integrated method based on hybrid grey wolf optimizer improved variational mode decomposition and deep neural network for fault diagnosis of rolling bearing

Title
An integrated method based on hybrid grey wolf optimizer improved variational mode decomposition and deep neural network for fault diagnosis of rolling bearing
Authors
Keywords
Rolling bearing, Variational mode decomposition, Hybrid grey wolf optimizer, Singular value decomposition, Deep belief network
Journal
MEASUREMENT
Volume 162, Issue -, Pages 107901
Publisher
Elsevier BV
Online
2020-05-12
DOI
10.1016/j.measurement.2020.107901

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

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation