Research on Fault Diagnosis and Application for Rolling Element Bearing Based on Fuzzy Analysis

被引：2
|
作者：
Yu, Xiaoguang [1 ]
Liu, Jian [1 ]
机构：
[1] Univ Sci & Technol, Sch Mech Engn & Automat, Liaoning 114051, Anshan, Peoples R China
来源：
MANUFACTURING PROCESS TECHNOLOGY, PTS 1-5 | 2011年 / 189-193卷
关键词：
Rolling Element Bearing; Fault Diagnosis; Variation Signal; Fuzzy Theory;
D O I：
10.4028/www.scientific.net/AMR.189-193.1358
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In order to simulate the fault of a single rolling bearing, this paper used the fault diagnosis lab desk to simulate some representative conditions of 30205 type of rolling element bearing, including regular condition, inner ring fault, outer ring fault and rolling body fault. It also adopted fuzzy theory to analyze signals and diagnose faults on the base of the MATLAB software desk. This paper also adopts the amplitude spectrum, the power spectrum, the envelope demodulated spectrum and the delayed correlation-envelop spectrum to diagnosis and analyze simulating signals. Comparatively, the fuzzy diagnosis theory is dependable.
引用
收藏
页码：1358 / 1361
页数：4
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