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

Content Provider	IEEE Xplore Digital Library
Author	Navarro, L. Delgado, M. Urresty, J. Cusidó, J. Romeral, L.
Copyright Year	2010
Description	Author affiliation: Electronic Engineering Department - MCIA Group, Universitat Politècnica de Catalunya, Terrassa (Spain) (Navarro, L.; Delgado, M.; Urresty, J.; Cusidó, J.; Romeral, L.)
Abstract	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 emissions are also analysed. High frequency bearings current pulses are acquired using motors especially modified. This modification isolates ball bearings from the motor stator frame, except for a bearing housing single point connected to ground through a proper cable where the pulses signal is measured. A multivariable fuzzy inference analysis approach is presented to get around the diagnosis difficulty.
Starting Page	1159
Ending Page	1163
File Size	1067287
Page Count	5
File Format	PDF
ISBN	9781424428328
ISSN	10915281
DOI	10.1109/IMTC.2010.5488092
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Condition monitoring Electric motors Ball bearings Fuzzy systems Acoustic pulses Frequency Pulse measurements Acoustic emission Signal analysis Stators bearings condition monitoring fault anticipation system electromechanical actuator fuzzy inference system
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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