A novel deep stacking least squares support vector machine for rolling bearing fault diagnosis

Title
A novel deep stacking least squares support vector machine for rolling bearing fault diagnosis
Authors
Keywords
Deep stacking least squares support vector machine, Rolling bearing, Deep learning, Fault diagnosis
Journal
COMPUTERS IN INDUSTRY
Volume 110, Issue -, Pages 36-47
Publisher
Elsevier BV
Online
2019-05-23
DOI
10.1016/j.compind.2019.05.005

Ask authors/readers for more resources

Reprint

Contact the author

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started

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