A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions-Reference-Cited by-同舟云学术

A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions

Published:2016-06 Issue: Volume:194 Page:192-206
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Pacheco Fannia^ORCID,Valente de Oliveira José^ORCID,Sánchez René-Vinicio,Cerrada Mariela,Cabrera Diego,Li Chuan,Zurita Grover,Artés Mariano

Funder

GIDTEC project called “Desarrollo de una herramienta computacional basada en modelos de computación inteligente para el monitoreo en maquinaria rotativa”

Prometeo Project of the Secretariat for Higher Education, Science, Technology and Innovation (SENESCYT) of the Republic of Ecuador

GIDTEC research group lab of the Universidad Politécnica Salesiana de Cuenca, Ecuador

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference43 articles.

1. Fault detection, diagnosis and recovery using artificial immune systems;Bayar;Eng. Appl. Artif. Intell.,2015

2. A review on prognostic techniques for non-stationary and non-linear rotating systems;Kan;Mech. Syst. Signal Process.,2015

3. S. Yin, D. S, X. Xie, H. Luo, A review on basic data-driven approaches for industrial process monitoring, IEEE Trans. Ind. Electron. 61 (11) (2014) 6418–6428.

4. Fault-tolerant attitude stabilization for satellites without rate sensor;Xiao;IEEE Trans. Ind. Electron.,2015

5. S. Yin, X. Zhu, K. O, Improved pls focused on key-performanceindicator- related fault diagnosis, IEEE Trns. Ind. Electron. 62 (3) (2015) 1651–1658.

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