| 小波消噪和AR谱技术在汽车传动轴故障诊断中的应用 |
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| 引用本文： | 严骏,王建新,周朝霞,杨敏.小波消噪和AR谱技术在汽车传动轴故障诊断中的应用[J].解放军理工大学学报,2005,6(3):285-288. |
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| 作者姓名： | 严骏 王建新 周朝霞 杨敏 |
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| 作者单位： | 解放军理工大学,工程兵工程学院,江苏,南京,210007;解放军理工大学,工程兵工程学院,江苏,南京,210007;解放军理工大学,工程兵工程学院,江苏,南京,210007;解放军理工大学,工程兵工程学院,江苏,南京,210007 |
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| 摘 要： | 为了解决传统的谱分析方法难于提取传动轴振动信号故障特征问题，介绍了小波消噪与AR谱相结合对汽车传动轴振动信号进行分析的方法。通过对处理的结果比较分析，可以看出，传动轴不平衡时，其不平衡能量在其轴频的半频、倍频处表现明显。小波消噪能够有效地消除或抑制传动轴各种噪声，与AR谱相结合，能够为振动信号故障提取提供可靠的依据。
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| 关 键 词： | 小波变换 AR谱分析 汽车传动轴 |
| 文章编号： | 1009-3443(2005)03-0285-04 |
| 修稿时间： | 2004年11月25 |
Fault d iagnos is of automotive transm iss ionw ithwave let
de-no ising and AR spectrum techno logy |
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| YAN Jun,WANG Jan-xin,ZHOU Zhao-xia and YANG Min.Fault d iagnos is of automotive transm iss ionw ithwave let
de-no ising and AR spectrum techno logy[J].Journal of PLA University of Science and Technology(Natural Science Edition),2005,6(3):285-288. |
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| Authors: | YAN Jun WANG Jan-xin ZHOU Zhao-xia and YANG Min |
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| Institution: | Engineering Institute of Corps of Engineers, PLA Univ.of Sci.& Tech.,Nanjing 21 0007,China;Engineering Institute of Corps of Engineers, PLA Univ.of Sci.& Tech.,Nanjing 21 0007,China;Engineering Institute of Corps of Engineers, PLA Univ.of Sci.& Tech.,Nanjing 21 0007,China;Engineering Institute of Corps of Engineers, PLA Univ.of Sci.& Tech.,Nanjing 21 0007,China |
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| Abstract: | In order to trackel the problem that traditional spectrum analysis w as unable to extract the vibration features of transmission easily,was introduce d the method of extracting characteristic information of vibration sign al of automotive transmission shaft by applying wavelet de-noising and AR spect r um. Based on these discussions, it can be seen that the imbalanc e energy was very obvious on the base frequency's half frequency and double frequency wh en the shaft of automotive transmission was imbalanced. Wavelet de-noising can re move and restrain all kinds of noises from shaft of automotive transmission effe ct ively. Combining it with AR Spectrum, it can provide the reliable basis for extracting the features of vibration signal. |
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| Keywords: | wavelet transition AR spectrum analyzing shaft of automotive transmission |
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