An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals

Title
An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals
Authors
Keywords
Fault detection, CWRU bearing fault database, Performance criteria, Classification, Pattern recognition, Machine learning
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume -, Issue -, Pages 114022
Publisher
Elsevier BV
Online
2020-10-01
DOI
10.1016/j.eswa.2020.114022

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