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2019 Prognostics and System Health Management Conference, PHM-Qingdao 2019(1)
IEEE Access(1)
Journal of Intelligent Manufacturing(1)
Mechanical Systems and Signal Processing(1)
Neurocomputing(1)
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Física aplicada(6)
Ciencias de la computación(2)
Instrumentos de precisión y otros dispositivos(1)
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Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor
ArticleAbstract: Reciprocating compression machinery is the primary source of compressed air in the industry. UndiagnPalabras claves:Bayesian optimization, deep learning, LSTM, Reciprocating compressor, Time-series dimensionality reductionAutores:Adriana del Pilar Guamán Buestán, Adriana Guamán, Cevallos J., Diego Cabrera Mendieta, Diego R. Cabrera, Li C., Long J., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Zhang S.Fuentes:googlescopusA comparison of dimension reduction techniques for support vector machine modeling of multi-parameter manufacturing quality pbkp_rediction
ArticleAbstract: Manufacturing quality pbkp_rediction model, as an effective measure to monitor the quality in advancPalabras claves:Isomap, LLE, Manufacturing quality pbkp_rediction, PCa, SVMAutores:Bai Y., Jose Valante De Oliveira, Li C., Li L., Long J., Sun Z., Zeng B.Fuentes:scopusFusing 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:googlescopusGenerative 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:scopusGenerative 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:googlescopusLow-cost and Small-sample Fault Diagnosis for 3D Printers Based on Echo State Networks
Conference ObjectAbstract: With the 3D printing rapidly expanding into various fields, 3D printers, as the equipment, should adPalabras claves:3D printer, Echo state networks, Fault diagnosis, Feature Extraction, Machine learningAutores:Diego R. Cabrera, He K., Li C., Long J., Shui Q., Zeng L.Fuentes:scopus