| 形态滤波和自相关降噪的Hilbert边际谱在轴承故障诊断中的应用 |
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| 引用本文： | 王凯,安钢,胡易平,樊新海.形态滤波和自相关降噪的Hilbert边际谱在轴承故障诊断中的应用[J].装甲兵工程学院学报,2010,24(1). |
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| 作者姓名： | 王凯 安钢 胡易平 樊新海 |
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| 作者单位： | 装甲兵工程学院,机械工程系,北京,100072 |
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| 基金项目： | 国防科技重点实验室基金项目资助 |
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| 摘 要： | Hilbert边际谱是Hilbert-Huang变换在频域的一种表示形式,适合分析机械故障诊断中广泛存在的非平稳信号,但是噪声会影响Hilbert边际谱的分析精度。针对从装甲车辆机械系统采集的振动信号中噪声的特点,将形态滤波和自相关相结合,对振动信号进行降噪,提高了Hilbert边际谱对振动信号的分析精度,并在某型坦克变速箱主轴7216轴承滚动体点蚀故障诊断中得到了应用。
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| 关 键 词： | 轴承 故障诊断 形态滤波 自相关 Hilbert边际谱 |
Application of Morphological Filtering and Autocorrelation Based Hilbert Marginal Spectrum in Bearings Fault Diagnosis |
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| WANG Kai,AN Gang,HU Yi-ping,FAN Xin-hai.Application of Morphological Filtering and Autocorrelation Based Hilbert Marginal Spectrum in Bearings Fault Diagnosis[J].Journal of Armored Force Engineering Institute,2010,24(1). |
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| Authors: | WANG Kai AN Gang HU Yi-ping FAN Xin-hai |
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| Institution: | WANG Kai,AN Gang,HU Yi-ping,FAN Xin-hai(Department of Mechanical Engineering,Academy of Armored Force Engineering,Beijing 100072,China) |
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| Abstract: | Hilbert marginal spectrum is a kind of representation of Hilbert-Huang transform in frequency domain, which is suitable for analyzing nonstationary signal in mechanical fault diagnosis. But the noise will affect the analysis precision of Hilbert marginal spectrum. According to the features of noise contained in the vibration signal acquired from armored vehicle mechanical system, a denoising method based on morphological filtering and autocorrelation is applied. The method improves the analysis precision of... |
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| Keywords: | bearing fault diagnosis morphological filtering autocorrelation Hilbert marginal spectrum |
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