| 基于谐波小波分析的故障诊断方法研究 |
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| 引用本文： | 王志刚,李友荣,李方.基于谐波小波分析的故障诊断方法研究[J].振动与冲击,2006,25(2):125-128. |
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| 作者姓名： | 王志刚 李友荣 李方 |
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| 作者单位： | 武汉科技大学机械传动与制造工程湖北省重点实验室,武汉,430081 |
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| 摘 要： | 谐波小波分析可有效提取非平稳信号中的奇异成分。但当信号中存在噪声时，谐波小波分解的时频等高线图无法凸显其奇异成分。本文采用谐波小波时频剖面图，对仿真信号和齿轮故障信号进行分析，成功提取出信号中的奇异成分。诊断实例证明，该方法可有效用于设备故障诊断。
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| 关 键 词： | 谐波小波 时频剖面图 故障诊断 |
| 收稿时间： | 11 29 2004 12:00AM |
| 修稿时间： | 12 24 2004 12:00AM |
Fault Diagnosis Method Based on Harmonic Wavelet Analysis |
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| Wang zhigang,Li Yourong,Li Fang.Fault Diagnosis Method Based on Harmonic Wavelet Analysis[J].Journal of Vibration and Shock,2006,25(2):125-128. |
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| Authors: | Wang zhigang Li Yourong Li Fang |
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| Abstract: | Harmonic wavelet analysis can extract the singular components in the non-stationary signal effectively. But when the signal involves noise, the singular signal does not appear sharply in the time-frequency contour of harmonic wavelet. In the paper, using the time-frequency profile of harmonic wavelet to analyze the simulation signal and the signal including gear fault, the singular signals are extracted successfully. The diagnosis example indicates the method is an effective tool for device fault diagnosis. |
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| Keywords: | harmonic wavelet time-frequency profile fault diagnosis |
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