Detection of lubrication starved bearings in electrical motors by means of vibration analysis

被引：32

作者：

Boskoski, Pavle ^{[1
]}

Petrovcic, Janko ^{[1
]}

Musizza, Bojan ^{[1
]}

Juricic, Dani ^{[1
]}

机构：

[1] Jozef Stefan Inst, Dept Syst & Control, Ljubljana 1000, Slovenia

来源：

TRIBOLOGY INTERNATIONAL | 2010年 / 43卷 / 09期

关键词：

Lubrication starved bearing; Cyclostationary; Spectral kurtosis; ROLLING ELEMENT BEARINGS; CYCLIC SPECTRAL-ANALYSIS; BALL-BEARINGS; WAVELET TRANSFORM; FAULT-DETECTION; SIGNALS; DIAGNOSTICS; KURTOSIS; STATISTICS; ENVELOPE;

D O I：

10.1016/j.triboint.2010.03.018

中图分类号：

TH [机械、仪表工业];

学科分类号：

120111 [工业工程];

摘要：

The detection of improperly lubricated bearings from vibration patterns is a difficult task especially when records from short operating periods are available. This is exactly the case of end-quality assessment systems. This problem has been addressed by applying both cyclostationary analysis and spectral kurtosis for the selection of a frequency band in which variations in vibration patterns are most expressed. The approach was evaluated on a test-set comprising 63 electrical motors with fault-free and 21 with improperly lubricated bearings. The results reveal that improper lubrication is expressed as increase in the spectral components at bearing cage and ball spin frequency. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：1683 / 1692

页数：10

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