Publications

Application of Different Machine Learning Strategies for Current- and Vibration-Based Motor Bearing Fault Detection in Induction Motors

AuthID
P-00S-1BA

Author(s)

Racoes, HDL

Ferreira, FJTE

Pires, JM

Damasio, CV

Document Type

Proceedings Paper

Year published

2019

Published

in 45TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2019) in IEEE Industrial Electronics Society, ISSN: 1553-572X

Pages: 68-73 (6)

Conference

45Th Annual Conference of the Ieee Industrial Electronics Society (Iecon), Date: OCT 14-17, 2019, Location: Lisbon, PORTUGAL, Sponsors: IEEE, Univ Nova Lisboa, IEEE Ind Elect Soc

Indexing

Wos^®

Crossref^®3

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1109/iecon.2019.8927129

Wos: WOS:000522050600006

Source Identifiers

ISSN: 1553-572X

Export Publication Metadata

Marked List

Add to Marked List

Info

At this moment we don't have any links to full text documens.

Application of Different Machine Learning Strategies for Current- and Vibration-Based Motor Bearing Fault Detection in Induction Motors

Useful Links

Get Help

Federated Authentication (Click on the image)

Application of Different Machine Learning Strategies for Current- and Vibration-Based Motor Bearing Fault Detection in Induction Motors

Useful Links

Get Help