[1]马益书,黄亚宇,吴 政.基于包络分析的滚动轴承故障诊断研究[J].机械与电子,2016,(01):63-66.
　MA Yishu,HUANG Yayu,WU Zheng.Study on Fault Diagnosis of Rolling Bearing Based on Envelope Analysis[J].Machinery & Electronics,2016,(01):63-66.
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基于包络分析的滚动轴承故障诊断研究
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2016年01期
页码:
63-66
栏目:
自动控制与检测
出版日期:
2016-01-25

文章信息/Info

Title:
Study on Fault Diagnosis of Rolling Bearing Based on Envelope Analysis
文章编号:
1001-2257(2016)01-0063-04
作者:
马益书; 黄亚宇; 吴 政
(昆明理工大学机电工程学院,云南 昆明 650500)
Author(s):
MA Yishu;  HUANG Yayu;  WU Zheng
(Faculty of Mechanical and Electrical Engineering,Kunming University of Science and Technology, Kunming 650500,China)
关键词:
滚动轴承;  故障诊断;  特征提取;  包络分析
Keywords:
rolling bearing;  fault diagnosis;  feature extraction;  envelope analysis
分类号:
TH133.31
文献标志码:
A
摘要:
在研究滚动轴承振动机理的基础上,提出了利用对振动信号进行包络分析,以及特征提取的方法来进行故障类型的判断。在QPZZ-Ⅱ型故障模拟实验台上进行了滚动轴承实验,对振动信号进行包络分析和特征提取,准确地判断出了滚动轴承的故障类型,证明了该方法是有效的。
Abstract:
To judge the fault type of rolling bearings, the method of envelope analysis and feature extraction of vibration signal is presented on the basis of studying the vibration mechanism of the rolling bearing. By the rolling bearing experiment on the QPZZ-Ⅱ fault simulation test bench, and envelope analysis and feature extraction of vibration signal, the fault types of rolling bearing are accurately judged. The method is proved to be effective.

参考文献/References:

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[2] 李巍华, 林龙, 单外平.基于广义S变换与双向2DPCA的轴承故障诊断[J].振动、测试与诊断, 2015,35(3): 499-506.
[3] 刘韬,陈进,董广明. 基于频带熵的滚动轴承故障诊断研究[J].振动与冲击,2014,33(1):77-80.
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[5] 窦东阳, 李丽娟, 赵英凯. 基于EEMD-Renyi熵和PCA-PNN的滚动轴承故障诊断[J]. 东南大学学报(自然科学版),2011,41(增刊):107-111.
[6] 从飞云,陈进,董广明.基于谱峭度和AR模型的滚动轴承故障诊断[J].振动、测试与诊断,2012,32(4): 538-541.
[7] 李敏通, 宋蒙, 朱兆龙,等. 基于边际谱和神经网络的柴油机故障诊断[J]. 农机化研究, 2013(6): 193-197.

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备注/Memo

备注/Memo:
收稿日期:2015-09-16
作者简介:马益书(1989-),男,湖南邵阳人,硕士研究生,研究方向为数字化设计与制造; 黄亚宇(1963-),男,四川绵阳人,教授,研究方向为数字化设计与制造,机械系统动力学,基于TRIZ的计算机辅助创新研究与应用; 吴 政(1990-),男,湖南邵阳人,硕士研究生,研究方向为数字化设计与制造。
更新日期/Last Update: 2016-01-25