On-line fault detection method for induction machines based on signal convolution

All of RECERCAT

To access the full text documents, please follow this link: http://hdl.handle.net/2117/11618

Title:	On-line fault detection method for induction machines based on signal convolution
Author:	Cusidó Roura, Jordi; Romeral Martínez, José Luis; García Espinosa, Antonio; Ortega Redondo, Juan Antonio; Riba Ruiz, Jordi-Roger
Other authors:	Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica; Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica; Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group
Abstract:	A new technique for induction motor fault detection and diagnosis is presented. This technique, which has been experimentally verified in stationary and non-stationary motor conditions, is based on the convolution of wavelet-based functions with motor stator currents. These functions are tuned to specific fault frequencies taking into account motor speed and load torque, thus considering variable operation conditions of the motor. Based on this technique an automatic system for fault diagnosis is also presented, which is suited for easy software implementation.
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Enginyeria electrònica::Electrònica de potència -System failures (Engineering) -Electric motors, Induction -Errors de sistemes (Enginyeria) -Motors elèctrics d'inducció
Rights:
Document type:	Article - Published version Article
Share: