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Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation
ArticleAbstract: Signals captured in rotating machines to obtain the status of their components can be considered asPalabras claves:Auto-encoder, Convolution, deep learning, Helical gearbox, Wavelet packetsAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Fernando Sancho-Caparrini, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusBayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor
ArticleAbstract: Reciprocating compression machinery is the primary source of compressed air in the industry. UndiagnPalabras claves:Bayesian optimization, deep learning, LSTM, Reciprocating compressor, Time-series dimensionality reductionAutores:Adriana del Pilar Guamán Buestán, Adriana Guamán, Cevallos J., Diego Cabrera Mendieta, Diego R. Cabrera, Li C., Long J., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Zhang S.Fuentes:googlescopusA 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 Review on Neurocomputing Based wind Turbines Fault Diagnosis and Prognosis
Conference ObjectAbstract: Renewable energy, especially wind power energy, has gone through fast growth in the last decade AccoPalabras claves:Artificial Neural, Data-driven approaches, deep learning, Fault diagnosis, Fault prognosis, Machine learning, Wind turbineAutores:Baltazar S., Daniel H., Jose Valante De Oliveira, Li C.Fuentes: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:scopusGearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
ArticleAbstract: Fault diagnosis is an effective tool to guarantee safe operations in gearboxes. Acoustic and vibratoPalabras claves:Acoustic Emission, data fusion, deep learning, gearbox, Vibration signalAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopusFault Diagnosis for 3D Printers Using Suboptimal Networked Deep Learning
ArticleAbstract: For reliable and cost-saving diagnosis of 3D printer faults, a customer-goods level attitude sensorPalabras claves:3D Printing, BIG DATA, deep learning, Fault diagnosis, Suboptimal networkAutores:Jose Valante De Oliveira, Li C., Zhang S.Fuentes:scopusFault diagnosis for rotating machinery using vibration measurement deep statistical feature learning
ArticleAbstract: Fault diagnosis is important for the maintenance of rotating machinery. The detection of faults andPalabras claves:deep learning, Fault diagnosis, Rotating machinery, Statistical feature, Vibration sensorAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusMultimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis
ArticleAbstract: Gearboxes are crucial transmission components in mechanical systems. Fault diagnosis is an importantPalabras claves:deep learning, Fault diagnosis, gearbox, Multimodal homologous feature, Support vector classificationAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopusOne-Shot Fault Diagnosis of Three-Dimensional Printers through Improved Feature Space Learning
ArticleAbstract: Signal acquisition from mechanical systems working in faulty conditions is normally expensive. As aPalabras claves:deep learning, Fault diagnosis, one-shot learning, three-dimensional (3-D) printerAutores:Diego R. Cabrera, Fernando Sancho-Caparrini, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:scopus