作者：郭福平1,3, 沈书乾2, 段志宏3, 孙志伟3
作者单位：1.广东石油化工学院 机电工程学院, 广东 茂名 525000;
2.广东省特种设备检测研究院茂名检测院, 广东 茂名 525000;
3.广东省石化装备故障诊断重点实验室, 广东 茂名 525000
关键词：声发射;滚动轴承;包络谱分析;小波分析
摘要：
通过对内圈、外圈、滚子含有缺陷的滚动轴承进行不同转速条件下的声发射试验,采集宽频的声发射信号,运用小波分析方法把信号分解在不同频带,对低频信号进行重构,对比重构后的包络谱特征频带和理论故障特征频率,并进行误差分析。结果表明,在包络谱上可以找到理论的故障特征频率范围,说明包络谱分析法对滚动轴承故障声发射诊断是有效的。
Study of acoustic emission diagnosis of rolling bearing fault based on envelope spectrum analysis
GUO Fuping1,3, SHEN Shuqian2, DUAN Zhihong3, SUN Zhiwei3
1.Guangdong University of Petrochemical Technology, College of Mechanical and Electrical Engineering, Maoming 525000, China;
2. Guangdong Institute of Special Equipment Inspection and Research, Maoming Inspection Institute, Maoming 525000, China;
3. Guangdong Provincial Key Laboratory of Petrochemical Equipment Flaut Diagnosis, Maoming 525000, China
Abstract: The acoustic emission detection of Inner ring and outer ring, roller containing defects of rolling bearing in the different conditions of rotation speed, and collecting the broadband acoustic emission signals. Then using the wavelet analysis method to decompose signals in different frequency bands, refactoring low-frequency signal. Finally,contrasting the reconstruction of the envelope spectrum characteristics of the frequency band and the fault characteristic frequency in theory and take error analysis. Results showed that the fault characteristic frequency range in theory can be found in the envelope spectrum. which indicated that it is effective for rolling bearing fault in acoustic emission diagnosis by the envelope spectrum method.
Keywords: acoustic emission;rolling bearing;envelope spectrum analysis;wavelet analysis
2015, 41(8): 94-98 收稿日期: 2015-2-7;收到修改稿日期: 2015-3-24
基金项目: 广东省石化装备故障诊断重点实验室开放课题(GDUPTKLAB201324)广东省茂名市科技计划项目(201316)
作者简介: 郭福平(1981-),女,黑龙江富锦市人,讲师,硕士,主要从事声发射检测技术及故障诊断研究工作。
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