Bearing fault detection with vibration and acoustic signals: Comparison among different machine leaning classification methods

Author:

Pacheco-Chérrez Josué,Fortoul-Díaz Jesús A.,Cortés-Santacruz Froylán,María Aloso-Valerdi Luz,Ibarra-Zarate David I.

Funder

Consejo Nacional de Ciencia y Tecnología

Instituto Tecnológico y de Estudios Superiores de Monterrey

Publisher

Elsevier BV

Subject

General Engineering,General Materials Science

Reference50 articles.

1. Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation;Li;J. Intell. Manuf.,2020

2. Intelligence bearing fault diagnosis model using multiple feature extraction and binary particle swarm optimization with extended memory;Lee;IEEE Access.,2020

3. A Review on Vibration-Based Fault Diagnosis in Rolling Element Bearings;Vamsi Krishna;Int. J. Appl. Eng. Res.,2018

4. A. Nabhan, N.M. Ghazaly, A. Samy, M. M.O, Bearing fault detection techniques - a review, Turkish J. Eng. Sci. Technol. 3 (2015).

5. An Intelligent Approach for Bearing Fault Diagnosis: Combination of 1D-LBP and GRA;Kuncan;IEEE Access,2020

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