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

Volume: 167, Pages: 114022 - 114022
Published: Apr 1, 2021
Abstract
This paper presents a systematic procedure to fairly compare experimental performance scores for machine learning methods for fault diagnosis based on vibration signals. In the vast majority of related scientific publications, the estimated accuracy and similar performance criteria are the sole quality parameter presented. However, the experimental design giving rise to these results is mostly biased, based on unacceptably simple validation...
Paper Details
Title
An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals
Published Date
Apr 1, 2021
Volume
167
Pages
114022 - 114022
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