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International Journal of Performability Engineering(2)
Journal of Intelligent and Fuzzy Systems(2)
Mechanical Systems and Signal Processing(2)
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Sensors (Switzerland)(2)
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A comparative feature analysis for gear pitting level classification by using acoustic emission, vibration and current signals
Conference ObjectAbstract: this paper addresses the comparison of features, extracted in the time domain, from vibration, acousPalabras claves:Acoustic Emission, current, Fault diagnosis, fault level, pitting fault, spur gearbox, vibrationAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopusA comparison of fuzzy clustering algorithms 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 Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ulutagay G.Fuentes:googlescopusA semi-supervised approach based on evolving clusters for discovering unknown abnormal condition patterns in gearboxes
Conference ObjectAbstract: Fault diagnosis plays a crucial role to maintain healthy conditions in rotating machinery. In real iPalabras claves:Fault Detection, Fault diagnosis, gearboxes, Knowledge Discovery, Machine learning, semi-supervised learningAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusA statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions
ArticleAbstract: Gearboxes are crucial devices in rotating power transmission systems with applications in a varietyPalabras claves:classification, Fault diagnosis, feature selection, gearbox, Neural networks, Statistic testsAutores:Artés M., Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusDeep 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:googlescopusExploiting generative adversarial networks as an oversampling method for fault diagnosis of an industrial robotic manipulator
ArticleAbstract: Data-driven machine learning techniques play an important role in fault diagnosis, safety, and maintPalabras claves:Fault diagnosis, Feature Extraction, Generative Adversarial Network, random forest, Unbalance dataAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, Pu Z., René-Vinicio Sánchez LojaFuentes:googlescopusExtracting repetitive transients for rotating machinery diagnosis using multiscale clustered grey infogram
ArticleAbstract: Local faults of rotating machinery usually result in repetitive transients whose impulsiveness or cyPalabras claves:Fault diagnosis, Multiscale clustered grey infogram, Repetitive transient, Rotating machinery, Spectral negentropyAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusFault diagnosis for rotating machinery using vibration measurement deep statistical feature learning
ArticleAbstract: Fault diagnosis is important for the maintenance of rotating machinery. The detection of faults andPalabras claves:deep learning, Fault diagnosis, Rotating machinery, Statistical feature, Vibration sensorAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusFault diagnosis in reciprocating compressor bearings: an approach using LAMDA applied on current signals
Conference ObjectAbstract: Condition monitoring is one of the most important activities to implement pbkp_redictive maintenancePalabras claves:Anova, Cluster validity index, Fault diagnosis, feature selection, fuzzy similarity, reciprocating compressorsAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Douglas Montalvo, Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Xavier ZambranoFuentes:googlescopusFault diagnosis in spur gears based on genetic algorithm and random forest
ArticleAbstract: There are growing demands for condition-based monitoring of gearboxes, and therefore new methods toPalabras claves:Fault diagnosis, feature selection, gearbox, Genetic Algorithms, random forest, Wavelet packetsAutores:Artés M., Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopus