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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:googlescopusGeneration of geometric interpolations of building types with deep variational autoencoders
ArticleAbstract: This work presents a methodology for the generation of novel 3D objects resembling wireframes of buiPalabras claves:Artificial Intelligence, artificial neural networks, computer-aided architectural design, Computer-aided design, deep generative models, deep learning, Deep Neural Networks, form-finding, generative design, procedural design, Structural design, variational autoencoderAutores:Fernando Sancho-Caparrini, Miguel J.d., Piškorec L., Villafañe M.E.Fuentes:scopusEcho state network and variational autoencoder for efficient one-class learning on dynamical systems
Conference ObjectAbstract: Usually, time series acquired from some measurement in a dynamical system are the main source of infPalabras claves:deep learning, Dynamical system modeling, reservoir computing, variational inferenceAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fernando Sancho-Caparrini, Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Tobar F.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:scopusKnowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification
ArticleAbstract: Modelling complex processes from raw time series increases the necessity to build Deep Learning (DL)Palabras claves:Convolutional neural network, Cyclo-stationary time-series analysis, deep learning, Fault diagnosis, Knowledge ExtractionAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fernando Sancho-Caparrini, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusReal-time gun detection in CCTV: An open problem
ArticleAbstract: Object detectors have improved in recent years, obtaining better results and faster inference time.Palabras claves:Convolutional neural network, data augmentation, deep learning, Feature Pyramid Network, synthetic data, Weapon detectionAutores:Álvarez-García J.A., Fernando Sancho-Caparrini, Salazar González J.L., Soria-Morillo L.M., Zaccaro C.Fuentes:scopus