| 滚动轴承故障特征参数自动提取新方法 |
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| 引用本文： | 王冬云,陈继刚,董志奎,张文志.滚动轴承故障特征参数自动提取新方法[J].机械设计,2011,28(12). |
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| 作者姓名： | 王冬云 陈继刚 董志奎 张文志 |
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| 作者单位： | 1. 燕山大学机械工程学院,河北秦皇岛066004;秦皇岛职业技术学院机电工程系,河北秦皇岛066100
2. 燕山大学机械工程学院,河北秦皇岛,066004 |
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| 基金项目： | 国家科技部国家科技支撑计划资助项目(2007BAF2B00); 河北省科学技术研究与发展计划科技支撑计划资助项目(11213909D); 秦皇岛市科学技术研究与发展计划科技支撑计划资助项目(201101A054) |
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| 摘 要： | 针对目前基于小波变换的滚动轴承故障诊断系统中故障特征参数依靠人工提取的问题,提出了一种基于小波分析与Hilbert变换的滚动轴承故障特征自动提取新方法.该方法能够在特征频率的一定范围内自动计算出最大包络谱值,实现滚动轴承故障特征参数自动提取.经过对实际滚动轴承实验数据的处理和分析,表明此方法能够准确、快速地提取出滚动轴承的故障特征参数.
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| 关 键 词： | 滚动轴承 小波分析 Hilbert变换 特征提取 |
New intelligent method for extracting feature of ball bearing fault |
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| WANG Dong-yun
,
CHEN Ji-gang
,
DONG Zhi-kui
,
ZHANG Wen-zhi.New intelligent method for extracting feature of ball bearing fault[J].Journal of Machine Design,2011,28(12). |
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| Authors: | WANG Dong-yun CHEN Ji-gang DONG Zhi-kui ZHANG Wen-zhi |
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| Affiliation: | WANG Dong-yun1,2,CHEN Ji-gang1,DONG Zhi-kui1,ZHANG Wen-zhi1(1.College of Mechanical Engineering,Yanshan University,Qinhuangdao 066004,China,2.Department of Mechanical and Electrical Engineering,Qinhuangdao Institute of Technology,Qinhuangdao 066100,China) |
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| Abstract: | At present,as for issue that the fault feature parameters in the ball bearing fault diagnosis system based on wavelet transform relies on artificial extraction,a new intelligent method for extracting feature of ball bearing fault based on wavelet analysis and Hilbert transform is presented,which can compute the maximum of the wavelet envelop spectrum in a certain bound around feature frequency,allowing to extract features of ball bearing fault automatically.Through processing and analyzing the practical bal... |
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| Keywords: | ball bearing wavelet analysis Hilbert transform feature extracting |
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