基于LabVIEW的滚动轴承故障诊断系统的开发

Development of fault diagnosis system for rolling bearing based on LabVIEW

针对传统故障诊断仪器数量众多、功能单一且成本高等缺点,笔者研发了基于虚拟仪器的滚动轴承故障诊断系统。该系统具有对滚动轴承故障信号进行采集、分析和处理和特征提取等功能,实现了对滚动轴承工作状态的监测和诊断;系统开发运用了LabVIEW和MATLAB联合编程技术,实现了信号的分析和小波特征提取,并在LabVIEW中实现了支持向量机的故障诊断功能,将共振解调提取的峰值频率和小波分析提取的各频带能量值作为特征向量,利用支持向量机实现了滚动轴承的在线诊断;通过试验证明了该系统的正确性和可行性。

In view of the shortcomings of traditional fault diagnosis methods such as plenty of instruments, single function and high cost etc, the paper developed a fault diagnosis system for rolling bearing based on virtual instrument. The system monitored the operation state of the rolling bearing through the fault signal acquisition, analysis, processing and feature extraction. By applying combined programming based on LabVIEW and MATLAB, the signal analysis and feature extraction were realized. Moreover, the frequency peak value extracted from resonance demodulation and energy value of each frequency band extracted from wavelet analysis served as feature vector, and support vector machine was applied to realize online fault diagnosis of the rolling bearing in LabVIEW. Finally, the system proved correct and feasible by test.