Publicações

Deep Learning-Based Gear Pitting Severity Assessment Using Acoustic Emission, Vibration and Currents Signals

AuthID
P-00Q-Z1B

Author(s)

Medina, R

Cerrada, M

Cabrera, D

Sanchez, RV

Li, C

de Oliveira, JV

Editor(es)

Li,C;DeOliveira,JV;Ding,P;Cabrera,D

Tipo de Documento

Proceedings Paper

Year published

2019

Publicado

in 2019 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-PARIS) in Prognostics and System Health Management Conference, ISSN: 2166-5656

Páginas: 210-216 (7)

Conference

Prognostics and System Health Management Conference in Paris (Phm Paris), Date: MAY 02-05, 2019, Location: Paris, FRANCE, Patrocinadores: IEEE Comp Soc

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Metadata
Fontes

Publication Identifiers

DOI: 10.1109/phm-paris.2019.00042

SCOPUS: 2-s2.0-85070519509

Wos: WOS:000485048900035

Source Identifiers

ISSN: 2166-5656

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Deep Learning-Based Gear Pitting Severity Assessment Using Acoustic Emission, Vibration and Currents Signals

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Deep Learning-Based Gear Pitting Severity Assessment Using Acoustic Emission, Vibration and Currents Signals

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