State of the art in monitoring rotating machinery - Part 1

被引:0
|
作者
Randall, RB [1 ]
机构
[1] Univ New S Wales, Sydney, NSW, Australia
来源
SOUND AND VIBRATION | 2004年 / 38卷 / 03期
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暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
In the last thirty years there have been many developments in the use of vibration measurement and analysis for monitoring the condition of rotating machinery while in operation. These have been in all three areas of interest, namely fault detection, diagnosis and prognosis. Of these areas, diagnosis and prognosis still require an expert to determine what analyses to perform and to interpret the results. Currently much effort is being put into automating fault diagnosis and prognosis. Major economic benefits come from being able to predict with reasonable certainty how much longer a machine can safely operate (often a matter of several months from when incipient faults are first detected). This article discusses the different requirements for detecting and diagnosing faults, outlining a robust procedure for the former, and then goes on to discuss a large number of signal processing techniques that have been proposed for diagnosing both the type and severity of the faults once detected. Change in the severity can of course be used for prognostic purposes. Most procedures are illustrated using actual signals from case histories. Part 2 of this article will appear in the May 2004 issue of SV.
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页码:14 / 21
页数:8
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