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Applied Sciences (Switzerland)(1)
IEEE Intelligent Systems(1)
Mechanical Systems and Signal Processing(1)
Proceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017(1)
Robotics and Computer-Integrated Manufacturing(1)
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Física aplicada(6)
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Gearbox 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:googlescopusVGAN: Generalizing MSE GAN and WGAN-GP for Robot Fault Diagnosis
ArticleAbstract: Generative adversarial networks (GANs) have shown their potential for data generation. However, thisPalabras claves:conditional Wasserstein generative adversarial network, Data generation, Fault diagnosis, regularization, robotics, V-matrixAutores:De Oliveira J.V., Diego R. Cabrera, Li C., Pu Z.Fuentes:scopusReciprocating 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:googlescopusSome preliminary results on the comparison of fcm, gk, fcmfp and fn-dbscan for bearing fault diagnosis
Conference ObjectAbstract: Bearings are one of the most omnipresent and vulnerable components in rotary machinery such as motorPalabras claves:Bearing, fault classification, Fault Detection, Fault diagnosis, Fcm, FCMFP, Fn-dbscan, Fuzzy Clustering, fuzzy rules, Gustafson-Kessel clusteringAutores:Diego R. Cabrera, Fannia Pacheco, Li C., Mariela Cerrada Lozada, Oliveira J.V.D., René-Vinicio Sánchez Loja, Ulutagay G.Fuentes:scopus