Optimizing kernel methods to reduce dimensionality in fault diagnosis of industrial systems. - José Manuel Bernal de Lázaro; Alberto Prieto Moreno; Orestes Llanes-Santiago; Antônio José da Silva Neto (Comput. Ind. Eng., 2015)

An Approach to Fault Diagnosis Using Fuzzy Clustering Techniques. - Adrián Rodríguez Ramos; José Manuel Bernal de Lázaro; Antônio José da Silva Neto; Carlos Cruz Corona; José L. Verdegay; Orestes Llanes-Santiago (EUSFLAT/IWIFSGN (3), 2017)

A novel fault diagnosis scheme applying fuzzy clustering algorithms. - Adrián Rodríguez Ramos; Orestes Llanes-Santiago; José Manuel Bernal de Lázaro; Carlos Cruz Corona; Antônio José da Silva Neto; José L. Verdegay (Appl. Soft Comput., 2017)

A novel index for the robustness comparison of classifiers in fault diagnosis. - José Manuel Bernal de Lázaro; Orestes Llanes-Santiago; Alberto Prieto-Moreno; A. del Castillo-Serpa; Antônio José da Silva Neto (Neurocomputing, 2018)

An approach to robust fault diagnosis in mechanical systems using computational intelligence. - Adrián Rodríguez Ramos; José Manuel Bernal de Lázaro; Alberto Prieto-Moreno; Antônio José da Silva Neto; Orestes Llanes-Santiago (J. Intell. Manuf., 2019)

A Proposal of Condition Monitoring with Missing Data and Small-Magnitude Faults in Industrial Plants. - José Manuel Bernal de Lázaro; Carlos Cruz Corona; Marcelo Lisboa Rocha; Antônio José da Silva Neto; Orestes Llanes-Santiago (IWAIPR, 2021)