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2019 Prognostics and System Health Management Conference, PHM-Qingdao 2019(1)
Applied Sciences (Switzerland)(1)
IEEE Access(1)
IEEE Transactions on Industrial Informatics(1)
International Journal of Performability Engineering(1)
A 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:scopusDeep hybrid state network with feature reinforcement for intelligent fault diagnosis of delta 3-D printers
ArticleAbstract: An echo state network (ESN) is a type of recurrent neural network that is good at processing time-sePalabras claves:Deep hybrid state network (DHSN), delta three-dimensional (3-D) printer, Fault diagnosis, feature reinforcementAutores:Bai Y., Diego Cabrera Mendieta, Diego R. Cabrera, Li C., Long J., Sun Z., Zhang S.Fuentes: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: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:scopusLow-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:scopusIntelligent fault diagnosis of 3D printers based on reservoir computing
ArticleAbstract: Fault diagnosis is important for the working conditions of 3D printers, because the failure of 3D prPalabras claves:3D printer, Fault diagnosis, pattern recognition, reservoir computingAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Duan X., Li C., Long J., Zhang S.Fuentes:googlescopusTransmission condition monitoring of 3d printers based on the echo state network
ArticleAbstract: Three-dimensional printing quality is critically affected by the transmission condition of 3D printePalabras claves:3D printer, condition monitoring, Echo state networks, Feature Extraction, Machine learningAutores:Bai Y., Diego Cabrera Mendieta, Diego R. Cabrera, He K., Li C., Long J., Zhang S.Fuentes:googlescopus