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

AuthID
P-00S-2B3

Author(s)

Rações, HDL

Ferreira, FJTE

Pires, JM

Damásio, CV

Document Type

Proceedings Paper

Year published

2019

Published

in IECON Proceedings (Industrial Electronics Conference)

Volume: 2019-October, Pages: 68-73

Conference

45Th Annual Conference of the Ieee Industrial Electronics Society, Iecon 2019, Date: 14 October 2019 through 17 October 2019, Sponsors: IEEE;IEEE Industrial Electronics Society (IES)

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Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1109/iecon.2019.8927129

Scopus: 2-s2.0-85084005928

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

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

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