Bearing Health Monitoring Using Relief-F-Based Feature Relevance Analysis and HMM

Bearing Health Monitoring Using Relief-F-Based Feature Relevance Analysis and HMM

Nowadays, bearings installed in industrial electric motors are constituted as the primary mode of a failure affecting the global energy consumption. Since industries’ energy demand has a growing tendency, interest for efficient maintenance in electric motors is decisive. Vibration signals from beari...

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Bibliographic Details
Main Authors: José Alberto Hernández-Muriel, John Bryan Bermeo-Ulloa, Mauricio Holguin-Londoño, Andrés Marino Álvarez-Meza, Álvaro Angel Orozco-Gutiérrez
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Applied Sciences
Subjects:
bearing faults
vibration signals
multi-domain features
relevance analysis
Hidden Markov Models
Online Access:https://www.mdpi.com/2076-3417/10/15/5170

Internet

https://www.mdpi.com/2076-3417/10/15/5170

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