Rotor unbalance detection in electrical induction motors using orbital analysis

José Juan Carbajal-Hernández, Luis P. Sánchez-Fernández, Sergio Suárez-Guerra, Ignacio Hernández-Bautista

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

6 Citas (Scopus)

Resumen

Deterioration in mechanical parts of a motor causes faults that generate vibrations. Those vibrations can be related with a different type of motor fault. In this work, we propose a new computational model for identifying rotor unbalance problems in electrical induction motors. Measured vibrations are preprocessed in order to create orbits which represent characteristic patterns. Those patterns are used in a recognition process using an artificial neural network. Experimental results using vibration signals extracted from real situations show a good performance and effectiveness of the proposed model, providing a new way for recognizing unbalance problems in induction motors.

Idioma originalInglés
Título de la publicación alojadaPattern Recognition - 6th Mexican Conference, MCPR 2014, Proceedings
EditorialSpringer Verlag
Páginas371-379
Número de páginas9
ISBN (versión impresa)9783319074900
DOI
EstadoPublicada - 2014
Evento6th Mexican Conference on Pattern Recognition, MCPR 2014 - Cancun, México
Duración: 25 jun. 201428 jun. 2014

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen8495 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia6th Mexican Conference on Pattern Recognition, MCPR 2014
País/TerritorioMéxico
CiudadCancun
Período25/06/1428/06/14

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