| 基于小波变换的故障信号检测 |
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| 引用本文： | 秦宣云,卜英勇.基于小波变换的故障信号检测[J].中南大学学报(自然科学版),2002,33(4):434-437. |
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| 作者姓名： | 秦宣云 卜英勇 |
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| 作者单位： | 1. 中南大学,应用数学与应用软件系,湖南,长沙,410083
2. 中南大学,机电工程学院,湖南,长沙,410083 |
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| 基金项目： | 国家海洋技术发展项目(DY10 5 0 3 0 2) |
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| 摘 要： | 分析了小波变换的时频局部化特性及基于多分辨分析的信号小波的分解算法 ,研究了信号局部奇异性在小波变换下的特性 ;根据故障信号的局部奇异性在小波变换下模的极大值及其在不同尺度上的传播特性 ,对 30 8型滚动轴承振动加速度故障信号进行分解 ,对故障特征信号进行时域定位 ,并提取了故障特征频率f=46 .88Hz,这与实际的故障特征频率相近 ,说明该方法适用于滚动轴承的在线监测和故障诊断
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| 关 键 词： | 小波变换 信号 故障诊断 |
| 文章编号： | 1005-9792(2002)04-0434-04 |
| 修稿时间： | 2001年10月20 |
Signal detection and fault diagnosis based on wavelet transform |
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| QIN Xuan yun ,PU Ying yong.Signal detection and fault diagnosis based on wavelet transform[J].Journal of Central South University:Science and Technology,2002,33(4):434-437. |
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| Authors: | QIN Xuan yun PU Ying yong |
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| Institution: | QIN Xuan yun 1,PU Ying yong 2 |
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| Abstract: | The theory of wavelet transform is introduced. The time frequency localization features of the wavelet transform and the signal wavelet transform and the signal wavelet decomposition algorithm based on the multi resolution analysis are analyzed. The signal local singularities during the wavelet transform are studied according to the propagation features of the fault signal modulus maximums during the wavelet transform on the different scales, and by use of the signal wavelet decomposition algorithm. The rolling bearings of 308 type vibration acceleration fault signal is decomposed.The fault characteristic signal on time domain is positioned and the results are given. The fault characteristic frequency is f =46.88 Hz. The results show that the wavelet transform is an efficient method to inspect online and fault diagnosis for the rolling bearings. |
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| Keywords: | wavelet transform signal fault diagnosis |
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