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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:googlescopusMulti-fault diagnosis of rotating machinery by using feature ranking methods and SVM-based classifiers
Conference ObjectAbstract: Rotating machinery plays an important role in industries for motion transmission in machines; the brPalabras claves:Feature ranking, Helical gearbox, Multi-fault diagnosisAutores:Fannia Pacheco, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopusSOA Based Integrated Software to Develop Fault Diagnosis Models Using Machine Learning in Rotating Machinery
Conference ObjectAbstract: Fault detection and diagnostic software (FDDS) supports technicians and engineers to deal with operaPalabras claves:e-Maintenance, Fault diagnosis, Industrial supervision, Machine learning, Rotating machinery, SOAAutores:Diego R. Cabrera, Fannia Pacheco, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez LojaFuentes:googlescopus