Mostrando 10 resultados de: 14
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Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019(3)
International Journal of Performability Engineering(2)
Proceedings - 2018 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2018(2)
2019 Prognostics and System Health Management Conference, PHM-Qingdao 2019(1)
Applied Sciences (Switzerland)(1)
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Física aplicada(12)
Métodos informáticos especiales(10)
Ciencias de la computación(5)
Ingeniería y operaciones afines(2)
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A LSTM Neural Network Approach using Vibration Signals for Classifying Faults in a Gearbox
Conference ObjectAbstract: A deep learning based method for classifying multi-class faults in a gearbox is presented. A set ofPalabras claves:deep learning, Faults classification, gearboxes, Long short term memory networks, Vibration signalsAutores: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.Fuentes:scopusA Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis
ReviewAbstract: Bearings are fundamental mechanical components in rotary machines (engines, gearboxes, generators, rPalabras claves:Bearing, fault classification, Fault Detection, Fault diagnosis, Fault prognosis, Fuzzy Clustering, Fuzzy entropy, fuzzy rulesAutores:Diego R. Cabrera, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:scopusConvolutional Neural Networks Using Fourier Transform Spectrogram to Classify the Severity of Gear Tooth Breakage
Conference ObjectAbstract: Gearboxes are essential devices for some applications, e.g., industrial rotating mechanical machinesPalabras claves:Convolutional neural network, Fault severity, Fourier transform, Gearbox Diagnosis, SpectrogramAutores:Diego R. Cabrera, Filho C.J.A.B., Mariela Cerrada Lozada, Monteiro R.P., René-Vinicio Sánchez LojaFuentes:scopusDeep Learning-Based Gear Pitting Severity Assessment Using Acoustic Emission, Vibration and Currents Signals
Conference ObjectAbstract: A method for gearbox pitting faults severity classification using Deep Learning techniques is reportPalabras claves:Acoustic Emission, deep learning, Faults detection, gearbox, Long short term memory networksAutores:Diego R. Cabrera, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ruben Medina MolinaFuentes:scopusAccelerometer Placement Comparison for Crack Detection in Railway Axles Using Vibration Signals and Machine Learning
Conference ObjectAbstract: In this paper, a methodology for accelerometer placement comparison for crack detection in railway aPalabras claves:Crack detection, feature selection, Machine learning, railway, Vibration signalAutores:Alonso H.R., Diego R. Cabrera, Jean Carlo Macancela Poveda, Li C., Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez LojaFuentes:googlescopusGear Crack Level Classification by Using KNN and Time-Domain Features from Acoustic Emission Signals under Different Motor Speeds and Loads
Conference ObjectAbstract: Diagnosing failures during their initial stage is important to avoid unexpected stops and catastrophPalabras claves:Acoustic Emission, Fault diagnosis, feature time-domain, gear crack, K-NEAREST NEIGHBORSAutores:Diego R. Cabrera, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopusGenerative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery
ArticleAbstract: At present, countless approaches to fault diagnosis in reciprocating machines have been proposed, alPalabras claves:GaN, Imbalanced data, Model selection, random forest, reciprocating machineryAutores:Diego R. Cabrera, Fernando Sancho-Caparrini, Li C., Long J., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Zhang S.Fuentes:scopusImproving extreme learning machine by a level-based learning swarm optimizer and its application to fault diagnosis of 3d printers
ArticleAbstract: Fault diagnosis plays a significant role in the printing quality for 3D printers. In this paper, anPalabras claves:Evolutionary extreme learning machine, Extreme learning machine, Fault diagnosis, Level-based learning swarm particle, MetaheurísticAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Hong Y., Long J., Zhang S., Zhong J.Fuentes:googlescopusInfluence of Accelerometer Position on Gearbox Fault Severity Classification through Evaluation of Deep Learning Models
Conference ObjectAbstract: Gears are key elements in mechanical transmission systems. Fault diagnosis in gearboxes is a cuttingPalabras claves:Bayesian optimization, Fault severity classification, hyperparameters search, K-S test, LSTM networksAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Jean Carlo Macancela Poveda, Li C., Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Villacrés S.Fuentes:googlescopusLow-cost and Small-sample Fault Diagnosis for 3D Printers Based on Echo State Networks
Conference ObjectAbstract: With the 3D printing rapidly expanding into various fields, 3D printers, as the equipment, should adPalabras claves:3D printer, Echo state networks, Fault diagnosis, Feature Extraction, Machine learningAutores:Diego R. Cabrera, He K., Li C., Long J., Shui Q., Zeng L.Fuentes:scopus