Filter banks as proposal in electrical motors fault discrimination

Jhonattan Bulla, Alvaro David Orjuela-Cañón, Oscar D. Flórez

Producción científica: Capítulo en Libro/ReporteContribución a la conferencia

Resumen

Studies related with the induction motor bearings fault detection have been used digital signal processing and pattern recognition techniques. However, performance of these approaches depends on the use of correct features. This paper deals an analysis of the use of filter banks with uniform and nonuniform frequency subbands to features extraction from vibration signals. Discrimination was developed by an artificial neural network with feedforward connections. Results identifies that the employment of filter banks improve the accuracy in 23% for six considered classes related with faults in bearings.

Idioma originalInglés estadounidense
Título de la publicación alojadaApplications of Computational Intelligence - First IEEE Colombian Conference, ColCACI 2018, Medellín, Colombia, May 16–18, 2018, Revised Selected Papers
EditoresAlvaro David Orjuela-Cañón, Juan Carlos Figueroa-García, Julián David Arias-Londoño
EditorialSpringer
Páginas50-62
Número de páginas13
ISBN (versión impresa)9783030030223
DOI
EstadoPublicada - 2018
Publicado de forma externa
Evento1st IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2018 - Medellin, Colombia
Duración: may. 16 2018may. 18 2018

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen833
ISSN (versión impresa)1865-0929

Conferencia

Conferencia1st IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2018
País/TerritorioColombia
CiudadMedellin
Período5/16/185/18/18

Áreas temáticas de ASJC Scopus

  • Ciencia de la Computación General
  • Matemáticas General

Huella

Profundice en los temas de investigación de 'Filter banks as proposal in electrical motors fault discrimination'. En conjunto forman una huella única.

Citar esto