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Condition monitoring system for characterization of electric motor ball bearings with distributed fault using fuzzy inference tools

Autor
Navarro, L.; Delgado Prieto, M.; Urresty, J.; Cusido, J.; Romeral, L.
Tipus d'activitat
Article en revista
Revista
IEEE Instrumentation and Measurement Technology Conference
Data de publicació
2010-05-06
Pàgina inicial
1159
Pàgina final
1163
DOI
https://doi.org/10.1109/IMTC.2010.5488092 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/13141 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5488092 Obrir en finestra nova
Resum
The present work shows a condition monitoring system applied to electric motors ball bearings. Unlike most of the previous work on this area, which is mainly focused on the location of single-point defects in bearing components – inner and outer races, cage or ball faults -, this research covers wide range irregularities which are very often more difficult to analyse. In addition to traditional techniques like vibration and current signals, high frequency current bearing pulses and acoustic em...
Citació
Navarro, L. [et al.]. Condition monitoring system for characterization of electric motor ball bearings with distributed fault using fuzzy inference tools. "EEE Instrumentation and Measurement Technology Conference. Proceedings", 06 Maig 2010, p. 1159-1163.
Grup de recerca
MCIA - Motion Control and Industrial Applications Research Group
PERC-UPC - Centre de Recerca d'Electrònica de Potència UPC

Participants

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