A Machine Learning Approach for Gearbox System Fault Diagnosis

A Machine Learning Approach for Gearbox System Fault Diagnosis

This study proposes a fully automated gearbox fault diagnosis approach that does not require knowledge about the specific gearbox construction and its load. The proposed approach is based on evaluating an adaptive filter’s prediction error. The obtained prediction error’s standard deviation is furth...

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Bibliographic Details
Main Authors: Jan Vrba, Matous Cejnek, Jakub Steinbach, Zuzana Krbcova
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Entropy
Subjects:
fault diagnosis
gearbox
adaptive filter
NLMS algorithm
support vector machine
Online Access:https://www.mdpi.com/1099-4300/23/9/1130

Internet

https://www.mdpi.com/1099-4300/23/9/1130

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