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

Autor
Cusido, J.; Romeral, L.; Garcia, A.; Ortega, J.A.; Riba, J.
Tipus d'activitat
Article en revista
Revista
European transactions on electrical power
Data de publicació
2010-06-28
Volum
21
Número
1
Pàgina inicial
475
Pàgina final
488
DOI
https://doi.org/10.1002/etep.455 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/11618 Obrir en finestra nova
URL
http://onlinelibrary.wiley.com/doi/10.1002/etep.455/abstract Obrir en finestra nova
Resum
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 i...
Citació
Cusido, J. [et al.]. On-line fault detection method for induction machines based on signal convolution. "European transactions on electrical power", 28 Juny 2010, vol. 21, núm. 1, p. 475-488.
Paraules clau
MCSA, diagnosis, fault diagnosis, induction machine, on-line fault detection, wavelet
Grup de recerca
MCIA - Motion Control and Industrial Applications Research Group
PERC-UPC - Centre de Recerca d'Electrònica de Potència UPC

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