FAULT-DETECTION AND DIAGNOSIS IN LOW-SPEED ROLLING ELEMENT BEARINGS .2. THE USE OF NEAREST NEIGHBOR CLASSIFICATION

被引：37

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)90033-F

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

An effective procedure for automatic fault diagnosis in low speed (≤100 RPM) rolling element bearings is described. The procedure involves the calculation of a statistical distance measure between vibration signals. The distance measure is then automatically used to distinguish between different fault conditions. A new trending index, based on the statistical distance measure, which may be used for fault detection, is also described. © 1992.

引用

页码：309 / 316

页数：8

共 17 条

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