SEMI-EMPIRICAL METHODS FOR BEARINGS DIAGNOSIS

被引：0

作者：

Culita, Janetta ^{[1
]}

Stefanoiu, Dan ^{[1
]}

Ionescu, Florin ^{[2
]}

机构：

[1] Univ Politehn Bucuresti, Fac Automat Control & Comp Sci, Bucharest, Romania

[2] Univ Appl Sci, Dept Mech, Constance, Germany

来源：

UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE | 2008年 / 70卷 / 04期

关键词：

vibrations processing; spectral analysis; bearings fault diagnosis;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Vibrations, especially generated by mechanical systems, exhibit a fortunate and extremely useful feature in fault diagnosis: encoding information about the health state of the system that produced them. In order to decode that information, the main properties of vibration yielding identification and isolation of faults have to a priori be known. The paper goal is to review such properties and to present some elementary methods of automatic fault diagnosis by vibrations processing.

引用

页码：61 / 74

页数：14

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