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基于形态梯度解调算子的齿轮故障特征提取
引用本文:李兵,张培林,刘东升. 基于形态梯度解调算子的齿轮故障特征提取[J]. 振动、测试与诊断, 2010, 30(1): 39-42
作者姓名:李兵  张培林  刘东升
作者单位:1. 军械工程学院一系,石家庄,050003;军械工程学院四系,石家庄,050003
2. 军械工程学院一系,石家庄,050003
3. 军械工程学院四系,石家庄,050003
基金项目:国家自然科学基金资助项目,河北省自然科学基金资助项目 
摘    要:
针对包络解调和形态闭算子易受强噪声和低频谐波分量干扰的缺点,提出了采用形态梯度解调算子提取脉冲信号的方法。对受到低频干扰的仿真脉冲调制信号和实测齿轮断齿故障信号的分析结果表明,形态梯度解调算子既抑制了噪声又充分突出了故障信号的冲击特征,具有更强的噪声抑制和脉冲提取能力,完全不受低频分量的干扰,且计算简单、快速,为齿轮故障特征提取提供了一种有效的方法。

关 键 词:数学形态学  形态梯度  齿轮故障诊断  特征提取

Feature Extraction for Gear Fault Diagnosis Using Morphological Gradient Demodulation
Li Bing,,Zhang Peilin,Liu Dongsheng,Ren Guoquan,Mi Shuangshan. Feature Extraction for Gear Fault Diagnosis Using Morphological Gradient Demodulation[J]. Journal of Vibration,Measurement & Diagnosis, 2010, 30(1): 39-42
Authors:Li Bing    Zhang Peilin  Liu Dongsheng  Ren Guoquan  Mi Shuangshan
Affiliation:Li Bing1,2,Zhang Peilin1,Liu Dongsheng2,Ren Guoquan1,Mi Shuangshan2(1The First Department,Ordnance Engineering College Shijiazhuang,050003,China)(2The Fourth Department,China)
Abstract:
A method based on the morphological gradient(MG)filter was proposed for feature extraction of gear fault signal.A comparison was made between the conventional envelope demodulation and the morphological close method,and the latter method was applied to the simulated signals and the measured gear fault signals interfered by low-frequency harmonic signals and random noise.The results demonstrate that the MG filter can effectively suppress the noise and clearly highlight the impulse feature of the original fau...
Keywords:mathematical  morphology  morphological  gradient  gear  fault diagnosis  feature extraction
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