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Journal of Intelligent and Fuzzy Systems(3)
Proceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017(3)
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Anova and cluster distance based contributions for feature empirical analysis to fault diagnosis in rotating machinery
Conference ObjectAbstract: The number of extracted features for fault diagnosis in rotating machinery can grow considerably duePalabras claves:Anova, bearings, cluster validity assessment, Fault diagnosis, Feature engineeringAutores:Alvarez X., Diana Jadan-Avilés, Mariela Cerrada Lozada, Mario Peña, Milton F. Barragán-Landy, Pablo M. Lucero, René-Vinicio Sánchez Loja, Wilson Rodrigo Pérez RocanoFuentes:googlescopusA Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis
ReviewAbstract: Bearings are fundamental mechanical components in rotary machines (engines, gearboxes, generators, rPalabras claves:Bearing, fault classification, Fault Detection, Fault diagnosis, Fault prognosis, Fuzzy Clustering, Fuzzy entropy, fuzzy rulesAutores:Diego R. Cabrera, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:scopusA 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 Ensemble-Based Classifier for Transfer Learning in Rotating Machinery Fault Diagnosis
ArticleAbstract: Nowadays, intelligent models can correctly detect faults by analysing signals from rotating machinerPalabras claves:deep learning, Fault diagnosis, Rotating machinery, Transfer learning, Vibration signalAutores:Diego R. Cabrera, Drimus A., Duggen L., Fannia Pacheco, Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:scopusDeep neural networks-based rolling bearing fault diagnosis
ArticleAbstract: Rolling bearing is one of the most commonly used components in rotating machinery. It's so easy to bPalabras claves:Deep Belief Networks, Deep boltzmann machines, Fault diagnosis, Rolling bearing, Stacked Auto-EncodersAutores:Chen X., Chen Z.Q., Deng S., Li C., Qin H., René-Vinicio Sánchez LojaFuentes:googlescopusFramework for discovering unknown abnormal condition patterns in gearboxes using a semi-supervised approach
Conference ObjectAbstract: Fault diagnosis plays a crucial role to maintain healthy conditions in rotating machinery. This papePalabras claves:Fault Detection, Fault diagnosis, gearboxes, Knowledge Discovery, semi-supervised learningAutores:Fannia Pacheco, Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:scopusGear Crack Level Classification by Using KNN and Time-Domain Features from Acoustic Emission Signals under Different Motor Speeds and Loads
Conference ObjectAbstract: Diagnosing failures during their initial stage is important to avoid unexpected stops and catastrophPalabras claves:Acoustic Emission, Fault diagnosis, feature time-domain, gear crack, K-NEAREST NEIGHBORSAutores:Diego R. Cabrera, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopus