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A Methodological Framework Using Statistical Tests for Comparing Machine Learning Based Models Applied to Fault Diagnosis in Rotating Machinery

AuthID
P-00M-VRB

Author(s)

Pacheco, F

Cerrada, M

Li, C

Sanchez, RV

de Oliveira, JV

Editor(es)

Rodriguez, C; Gomez, JB

Tipo de Documento

Proceedings Paper

Year published

2016

Publicado

in 2016 IEEE LATIN AMERICAN CONFERENCE ON COMPUTATIONAL INTELLIGENCE (LA-CCI)

Conference

3Rd Ieee Latin American Conference on Computational Intelligence (La-Cci), Date: NOV 02-04, 2016, Location: Cartagena, COLOMBIA, Patrocinadores: IEEE, Inst Elect & Elect Engineers Colombia Sect, IEEE Computat Intelligence Soc

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Wos: WOS:000402174700021

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A Methodological Framework Using Statistical Tests for Comparing Machine Learning Based Models Applied to Fault Diagnosis in Rotating Machinery

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A Methodological Framework Using Statistical Tests for Comparing Machine Learning Based Models Applied to Fault Diagnosis in Rotating Machinery

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