Automatic Bearing Fault Pattern Recognition using Vibration Signal Analysis

被引：0

作者：

Mendel, E. ^{[1
]}

Mariano, L. Z. ^{[1
]}

Drago, I. ^{[1
]}

Loureiro, S. ^{[1
]}

Rauber, T. W. ^{[1
]}

Varejao, F. A. ^{[1
]}

Batista, R. J. ^{[2
]}

机构：

[1] Univ Fed Espirito Santo, Ctr Technol, Dept Comp Sci, Av Fernando Ferrari S-N, BR-29060970 Vitoria, ES, Brazil

[2] Automat Inspect & Maintenance Engn, Espirito Santo Explorat & Product Business Unit, Vitoria, RS, Brazil

来源：

2008 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, VOLS 1-5 | 2008年

关键词：

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents vibration analysis techniques for fault detection in rotating machines. Rolling-element bearing defects inside a motor pump are the object of study. A dynamic model of the faults usually found in this context is presented. Initially a graphic simulation is used to produce the signals. Signal processing techniques, like frequency filters, Hilbert transform and spectral analysis are then used to extract features that will later be used as a base to classify the states of the studied process. After that real data from a centrifugal pump is submitted to the developed methods.

引用

页码：869 / +

页数：2

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