Fault diagnosis of rotating machinery by neural networks

被引：0

作者：

Ligteringen, R ^{[1
]}

Ypma, A ^{[1
]}

Duin, RPW ^{[1
]}

Frietman, EEE ^{[1
]}

机构：

[1] Delft Univ Technol, Fac Appl Phys, Pattern Recognit Grp, NL-2628 CJ Delft, Netherlands

来源：

NEURAL NETWORKS: BEST PRACTICE IN EUROPE | 1997年 / 8卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Machine failure due to mechanical problems might be predicted by unexpected large deviations in the standard vibration pattern. This pattern and its variations during normal use can be learned with neural network techniques from a training set of measured vibrations patterns. In this paper we describe the experimental setup for such measurements for the case of a medium size pump.

引用

页码：161 / 164

页数：4

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