Documentos de Pablo M. Lucero | REDI

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Filtros aplicados

Área de conocimiento: "Ingeniería mecánica"

Subtipo de publicación

Conference Object(3)

Publisher

International Journal of Advanced Manufacturing Technology(1)

Journal of Intelligent Manufacturing(1)

Proceedings - 2018 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2018(1)

Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019(1)

Área temáticas

Física aplicada(5)

Métodos informáticos especiales(3)

Área de conocimiento

Aprendizaje automático(4)

Año de Publicación

Origen

Palabras Claves

Fault diagnosis(3)

Acoustic Emission(2)

Vibration signals(2)

Faults classification(1)

Gearbox fault diagnosis(1)

A LSTM Neural Network Approach using Vibration Signals for Classifying Faults in a Gearbox

Conference Object

Abstract: A deep learning based method for classifying multi-class faults in a gearbox is presented. A set of

Palabras claves:

deep learning, Faults classification, gearboxes, Long short term memory networks, Vibration signals

Diego R. Cabrera, Jean Carlo Macancela Poveda, Li C., Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Ruben Medina Molina, Vásquez R.E.

A comparative feature analysis for gear pitting level classification by using acoustic emission, vibration and current signals

Conference Object

Abstract: this paper addresses the comparison of features, extracted in the time domain, from vibration, acous

Palabras claves:

Acoustic Emission, current, Fault diagnosis, fault level, pitting fault, spur gearbox, vibration

Diego Cabrera Mendieta, Diego R. Cabrera, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Vásquez R.E.

Gear Crack Level Classification by Using KNN and Time-Domain Features from Acoustic Emission Signals under Different Motor Speeds and Loads

Conference Object

Abstract: Diagnosing failures during their initial stage is important to avoid unexpected stops and catastroph

Palabras claves:

Acoustic Emission, Fault diagnosis, feature time-domain, gear crack, K-NEAREST NEIGHBORS

Diego R. Cabrera, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Vásquez R.E.

Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM

Abstract: This paper describes two algorithms for feature extraction from the Poincaré plot which is construct

Palabras claves:

bearing fault diagnosis, Gearbox fault diagnosis, Poincaré plot, Rotating machinery, Support Vector Machine, Vibration signals

Diego Cabrera Mendieta, Diego R. Cabrera, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Ruben Medina Molina

Vibration signal analysis using symbolic dynamics for gearbox fault diagnosis

Abstract: This paper addresses the use of two algorithms based on symbolic dynamics analysis of vibration sign

Palabras claves:

Fault diagnosis, Poincare plots, Rotating machines, Symbolic dynamics

Diego Cabrera Mendieta, Diego R. Cabrera, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Ruben Medina Molina, Vásquez R.E.