基于振动信号分析的机械设备故障诊断研究

Research on the Machinery Fault Diagnosis Based on the Analysis of Vibration Signal

基于改进的经验模态分解方法、小波包变换与支持向量机相结合的方式、Hilbert-Huang变换等现代信号处理方法,对采集的振动信号进行除噪、故障特征提取、识别,以实现机械设备故障及时诊断与维修。

This paper used an improved empirical mode decomposition method、combine wavelet packet transform with support vector machine Hilbert-Huang transform and other modern signal processing methods,to complete the noise removal fault feature extraction and recognition,then to realize the fault diagnosis and maintenance of mechanical equipment.