| 小波分析—AR谱及其工程应用 |
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| 引用本文： | 王志刚,李友荣.小波分析—AR谱及其工程应用[J].振动与冲击,2001,20(1):85-87. |
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| 作者姓名： | 王志刚 李友荣 |
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| 作者单位： | 武汉科技大学机械自动化学院, |
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| 摘 要： | 小波分析能将信号划分到不同频段内，实现微弱故障信号的分离和提取。AR谱不信号经小波变换后采样点变少的限制，得到准确的故障频率值。本文充分运用这两者的优点，对某厂轧钢机主传动减速机振动信号进行分析，发现高速轴工作侧轴承出现故障征兆。
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| 关 键 词： | 小波分析 AR谱 谱分析 故障诊断 机械设备 振动信号 |
| 修稿时间： | 2000年6月27日 |
THE WAVELET ANALYSIS-AR
SPECTRUM AND ITS APPLICATION |
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| Wang Zhigang,Li Yourong.THE WAVELET ANALYSIS-AR
SPECTRUM AND ITS APPLICATION[J].Journal of Vibration and Shock,2001,20(1):85-87. |
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| Authors: | Wang Zhigang Li Yourong |
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| Affiliation: | Wuhan university of Science and Technology |
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| Abstract: | The wavelet analysis can divide signal into different frequency bands and carry out inchoate signal decomposition and extracting.In spite of fewer samples,AR_spectrum can get accurate frequency values of the fault.As an example,vibration signal of reduction device in main drive system of a rolling plant is analyzed and the fault feature of the bearing on the work side of the high_speed shaft has been found. |
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| Keywords: | wavelet analysis AR_spectrum spectrum analysis fault diagnosis |
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