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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:googlescopusFast feature selection based on cluster validity index applied on data-driven bearing fault detection
Conference ObjectAbstract: The Prognostics and Health Management (PHM) approach aims to reduce potential failures or machine doPalabras claves:bearings, classification, Cluster validity index, Fault Detection, feature selectionAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Mariela Cerrada Lozada, Mario Peña, René-Vinicio Sánchez LojaFuentes:googlescopusFeature engineering based on ANOVA, cluster validity assessment and KNN for fault diagnosis in bearings
Conference ObjectAbstract: The number of features for fault diagnosis in rotating machinery can be large due to the different aPalabras claves:Anova, bearings, cluster validity assessment, Fault diagnosis, Feature engineering, KnnAutores:Alvarez X., Barragán Milton, Diana Jadan-Avilés, Mariela Cerrada Lozada, Mario Peña, Pablo M. Lucero, René-Vinicio Sánchez Loja, Wilson Rodrigo Pérez RocanoFuentes:googlescopus