| 基于时间-小波能量包络谱的滚动轴承特征提取 |
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| 引用本文： | 周伟强,侯立刚,苏成利. 基于时间-小波能量包络谱的滚动轴承特征提取[J]. 辽宁石油化工大学学报, 2014, 0(3): 75-78 |
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| 作者姓名： | 周伟强 侯立刚 苏成利 |
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| 作者单位： | 辽宁石油化工大学信息控制工程学院,辽宁抚顺113001 |
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| 基金项目： | 辽宁省高等学校杰出青年学者成长计划项目（LJQ2011032）;辽宁省科技攻关项目（2011216011） |
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| 摘 要： | 研究了传统包络谱方法在滚动轴承故障诊断中不能准确提取故障特征的问题,提出了一种基于能量和包络谱相结合的时间-小波能量包络谱分析法。用两种方法对滚动轴承各部位采集到的数据进行了分析对比,结果表明,时间-小波能量包络谱分析法比传统包络谱方法能更好和准确地提取出滚动轴承故障的特征频率。
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| 关 键 词： | 故障诊断 时间-小波能量包络谱 包络谱 滚动轴承 特征提取 |
Feature Extraction of the Rolling Bearing Based on Time-Wavelet Power Envelope Spectrum |
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| Zhou Weiqiang,Hou Ligang,Su Chengli. Feature Extraction of the Rolling Bearing Based on Time-Wavelet Power Envelope Spectrum[J]. Journal of Liaoning University of Petroleum & Chemical Technology, 2014, 0(3): 75-78 |
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| Authors: | Zhou Weiqiang Hou Ligang Su Chengli |
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| Affiliation: | (School of Information and Control Engineering, Liaoning Shihua University, Fushun Liaoning 113001, China) |
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| Abstract: | The traditional envelope spectrum method does not accurately extracting characteristic problems in rolling bearing fault diagnosis,so a new energy and envelope spectrum based on a combination of time-wavelet energy envelope spectrum analysis was developed.The various parts of rolling collected data the two methods were analyzed and compared,and show that the proposed method was better than the traditional envelope spectrum and could accurately extract the rolling bearing fault characteristic frequency. |
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| Keywords: | Fault diagnosis Time wavelet energy envelope spectrum Envelope spectrum Rolling bearing Feature extraction |
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