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Combining reservoir computing and variational inference 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:Dynamical system modeling, reservoir computing, variational inferenceAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fernando Sancho-Caparrini, Tobar F.Fuentes:googlescopusAutomatic 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:googlescopusDeep Form Finding Using Variational Autoencoders for deep form finding of structural typologies
Conference ObjectAbstract: In this paper, we are aiming to present a methodology for generation, manipulation and form findingPalabras claves:Artificial Intelligence, Deep Neural Networks, Form finding, generative design, Structural design, Variational autoencodersAutores:Fernando Sancho-Caparrini, Miguel J.d., Piškorec L., Villafañe M.E.Fuentes:scopusFrom fault detection to one-class severity discrimination of 3D printers with one-class support vector machine
ArticleAbstract: The lack of faulty condition data reduces the feasibility of supervised learning for fault detectionPalabras claves:3D printer, Bidirectional generative adversarial network, Fault Detection, One-Class Support Vector Machine, Severity discriminationAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Estupinan E., Fernando Sancho-Caparrini, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusFusing convolutional generative adversarial encoders for 3D printer fault detection with only normal condition signals
ArticleAbstract: Collecting data from mechanical systems in abnormal conditions is expensive and time consuming. ConsPalabras claves:3D printers, Adversarial learning, Condition-Based Maintenance, convolutional neural networks, Fault DetectionAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fernando Sancho-Caparrini, Li C., Long J., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Valente de Oliveira J.Fuentes: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:scopusGenerative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery
ArticleAbstract: At present, countless approaches to fault diagnosis in reciprocating machines have been proposed, alPalabras claves:GaN, Imbalanced data, Model selection, random forest, reciprocating machineryAutores:Diego R. Cabrera, Fernando Sancho-Caparrini, Li C., Long J., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Zhang S.Fuentes:scopusFault diagnosis of spur gearbox based on random forest and wavelet packet decomposition
ArticleAbstract: This paper addresses the development of a random forest classifier for the multi-class fault diagnosPalabras claves:Fault diagnosis, random forest, spur gearbox, wavelet packet decompositionAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fernando Sancho-Caparrini, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopusEcho 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:scopus