Documentos de Vásquez R.E. | REDI

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Mostrando 6 resultados de: 6

Filtros aplicados

Área de conocimiento: "Ingeniería mecánica"

Subtipo de publicación

Conference Object(3)

Publisher

Mechanical Systems and Signal Processing(2)

International Journal of Advanced Manufacturing Technology(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(6)

Métodos informáticos especiales(3)

Ingeniería y operaciones afines(1)

Otras ramas de la ingeniería(1)

Área de conocimiento

Aprendizaje automático(5)

Año de Publicación

Origen

Palabras Claves

Acoustic Emission(3)

Fault diagnosis(3)

deep learning(2)

Fault assessment(1)

Fault severity(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.

A review on data-driven fault severity assessment in rolling bearings

Abstract: Health condition monitoring of rotating machinery is a crucial task to guarantee reliability in indu

Palabras claves:

Fault assessment, Fault severity, Fault size, Quantitative diagnosis, Rolling bearings

Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, 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.

Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals

Abstract: Fault diagnosis is an effective tool to guarantee safe operations in gearboxes. Acoustic and vibrato

Palabras claves:

Acoustic Emission, data fusion, deep learning, gearbox, Vibration signal

Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Vásquez R.E.

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.