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Continual refoircement learning using real-world data for intelligent pbkp_rediction of SOC consumption in electric vehicles
OtherAbstract: The accelerated migration towards electric vehicles (EV) presents several problems to solve. The maiPalabras claves:Autores:Diego Cabrera MendietaFuentes:googleAccelerometer placement comparison for crack detection in railway axles using vibration signals and machine learning
OtherAbstract: In this paper, a methodology for accelerometer placement comparison for crack detection in railway aPalabras claves:Autores:Diego Cabrera MendietaFuentes:googleAcquisition, filtering and decomposition into real-time ECG signal with Ni—MyRio
OtherAbstract: In this project the signal acquisition caused by the electrical activity of the heart using the embePalabras claves:Autores:Diego Cabrera MendietaFuentes:googleGear crack level classification by using KNN and time-domain features from acoustic emission signals under different motor speeds and loads
OtherAbstract: Diagnosing failures during their initial stage is important to avoid unexpected stops and catastrophPalabras claves:Autores:Diego Cabrera MendietaFuentes:googleGearbox 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:googlescopusGenerative adversarial one-shot diagnosis of transmission faults for industrial robots
ArticleAbstract: Transmission systems of industrial robots are prone to get failures due to harsh operating environmePalabras claves:Bi-directional generative adversarial network, Industrial robot, One-shot diagnosis, random forest, Transmission systemAutores:Bai Y., Diego Cabrera Mendieta, Diego R. Cabrera, Li C., Pu Z.Fuentes:googlescopusGenerative transfer learning for intelligent fault diagnosis of the wind turbine gearbox
ArticleAbstract: Intelligent fault diagnosis algorithms based on machine learning and deep learning techniques have bPalabras claves:Adversarial training, Domain Adaptation, GaN, Wind turbine gearboxAutores:Chen W., Diego Cabrera Mendieta, Diego R. Cabrera, Guo J., Li C., Long J., Wu J., Zhang S.Fuentes:googlescopusMethodology for the location of the acoustic emission sensor in a gearbox
OtherAbstract: The purpose of this document is to identify the best position of an acoustic emission sensor in a gePalabras claves:Autores:Diego Cabrera Mendieta, René-Vinicio Sánchez LojaFuentes:googleVGAN: Generalizing MSE GAN and WGAN-GP for robot fault diagnosis
OtherAbstract: Generative adversarial networks (GANs) have shown their potential for data generation. However, thisPalabras claves:Autores:Diego Cabrera MendietaFuentes:googleReciprocating compressor multi-fault classification using symbolic dynamics and complex correlation measure
ArticleAbstract: Prognostics and Health Management technologies are useful for early fault detection and optimizationPalabras claves:Complex correlation measure, Fault Detection, Poincaré plot, random forest, Reciprocating compressor, Statistical features, Symbolic dynamics, Valve faultAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Estupinan E., Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ruben Medina MolinaFuentes:googlescopus