| 基于Modet小波的滚动轴承故障信号奇异性分析 |
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| 引用本文： | 丁娜,关立行,文常保.基于Modet小波的滚动轴承故障信号奇异性分析[J].轴承,2006(1):29-32. |
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| 作者姓名： | 丁娜 关立行 文常保 |
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| 作者单位： | [1]西安工业学院电信学院,陕西西安710032 [2]西安交通大学真空微电子研究所,陕西西安710049 |
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| 摘 要： | 针对滚动轴承故障信号分析中单一频域表征的问题，提出了将Morlet连续小波变换应用于故障信号奇异性提取和分析的新方法。在分析了滚动轴承故障信号的奇异性特征和奇异性信号小波检测机理的基础上，将Morlet连续小波用于对滚动轴承故障信息的提取与分析。试验证明，该方案能有效地对滚动轴承故障信号在时间和尺度平面进行分析，可以同时表征奇异性信号的时间和频率信息。
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| 关 键 词： | 滚动轴承 故障信号 Morlet小波 奇异性 |
| 文章编号： | 1000-3762（2006）01-0029-04 |
| 收稿时间： | 2005-07-27 |
| 修稿时间： | 2005-09-13 |
Awdysis on Singularity of Fault Signals of Rolling Bearing Based on Morlet Wavelet |
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| DING Na, GUAN Li - xing, WEN Chang - bao.Awdysis on Singularity of Fault Signals of Rolling Bearing Based on Morlet Wavelet[J].Bearing,2006(1):29-32. |
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| Authors: | DING Na GUAN Li - xing WEN Chang - bao |
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| Abstract: | To solve the single frequency domain problem in the study of failure signal in rolling bearings,a novel scheme is proposed to extract and analyze singularity of the fault signals with Morlet wavdet. On the base of analyzing angularity charaeters and wavelet deteetion meehanism of the singular signals ,the Morlet eontinuous wavelet transform is applied in extraction and analysis of the fault signals.The experiment shows that the fault signals of the milling hearings can be effectivdy analyzed in timedimension plane with this method,and time and frequency information of singular signals in characterized at the same time. |
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| Keywords: | rolling bearing fault signal Morlet wavelet singularity |
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