An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals-Reference-Cited by-同舟云学术

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

Published:2021-04 Issue: Volume:167 Page:114022
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Rauber Thomas Walter,da Silva Loca Antonio Luiz,Boldt Francisco de Assis,Rodrigues Alexandre Loureiros,Varejão Flávio Miguel

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference77 articles.

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3. Controlling the false discovery rate: A practical and powerful approach to multiple testing;Benjamini;Journal of the Royal Statistical Society: Series B (Methodological),1995

4. Bearing faults diagnosis using fuzzy expert system relying on an improved range overlaps and similarity method;Berredjem;Expert Systems with Applications,2018

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