FAULT-DETECTION AND DIAGNOSIS IN LOW-SPEED ROLLING ELEMENT BEARINGS .1. THE USE OF PARAMETRIC SPECTRA

被引：55

作者：

MECHEFSKE, CK

MATHEW, J

机构：

[1] Centre for Machine Condition Monitoring, Monash University, Melbourne, Vic.

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 1992年 / 6卷 / 04期

关键词：

D O I：

10.1016/0888-3270(92)90032-E

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

An effective procedure for vibration condition monitoring of low speed (≤100 RPM) rolling element bearings is described. The procedure incorporates fault detection using frequency domain trending indices with fault diagnosis using the frequency spectra. By using parametric models to generate frequency spectra, successful fault detection and diagnosis can be achieved from considerably shorter signal lengths than when using conventional procedures. The results presented here follow directly from earlier work done to compare parametric model based frequency spectra with FFT based frequency spectra, when being used to detect and diagnose faults in low speed rolling element bearings. © 1992.

引用

页码：297 / 307

页数：11

共 11 条

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