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Mechanical Systems and Signal Processing(3)
Applied Intelligence(1)
Applied Soft Computing Journal(1)
Engineering Applications of Artificial Intelligence(1)
IEEE/ASME Transactions on Mechatronics(1)
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: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 data-driven fault severity assessment in rolling bearings
ReviewAbstract: Health condition monitoring of rotating machinery is a crucial task to guarantee reliability in induPalabras claves:Fault assessment, Fault severity, Fault size, Quantitative diagnosis, Rolling bearingsAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopusDeep 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:scopusAdversarial Fault Detector Guided by One-Class Learning for a Multistage Centrifugal Pump
ArticleAbstract: The data unavailability of critical machinery is an open issue in the field of condition-based maintPalabras claves:Anomaly detection, Condition-Based Maintenance, Fault Detection, Feature Extraction, Generative Adversarial Network, Generative Adversarial Networks, hydraulic pump, mathematical models, Pumps, Task analysis, VibrationsAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Estupinan E., Li C., Long J., Mariela Cerrada Lozada, Mauricio Leonardo Villacís, René-Vinicio Sánchez Loja, Sancho F.Fuentes:googlescopusGearbox 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:googlescopusExtracting repetitive transients for rotating machinery diagnosis using multiscale clustered grey infogram
ArticleAbstract: Local faults of rotating machinery usually result in repetitive transients whose impulsiveness or cyPalabras claves:Fault diagnosis, Multiscale clustered grey infogram, Repetitive transient, Rotating machinery, Spectral negentropyAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusMulti-stage feature selection by using genetic algorithms for fault diagnosis in gearboxes based on vibration signal
ArticleAbstract: There are growing demands for condition-based monitoring of gearboxes, and techniques to improve thePalabras claves:Fault diagnosis, feature selection, gearbox, Genetic Algorithms, Neural networks, Vibration signalAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusHierarchical feature selection based on relative dependency for gear fault diagnosis
ArticleAbstract: Feature selection is an important aspect under study in machine learning based diagnosis, that aimsPalabras claves:Attribute clustering, feature selection, Gear fault diagnosis, Relative dependency, Rough setsAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusObserver-biased bearing condition monitoring: From fault detection to multi-fault classification
ArticleAbstract: Bearings are simultaneously a fundamental component and one of the principal causes of failure in roPalabras claves:Bearing, Fault Detection, Fault diagnosis, Fuzzy Clustering, Observer-biased clustering, Wavelets packed transformAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopus