基于振动信号分析的乳化器故障诊断系统

为了提高对乳化器故障的及时而准确的诊断,首次提出了基于小波包分析理论处理振动信号的乳化器故障诊断系统。根据粉状乳化炸药生产线上乳化器的结构特征,并分析当其发生不同故障时所产生的不同振动频率特征,基于小波包分析理论,设计了由工业控制计算机(IPC)、可编程控制器(PLC)、信号调理器及振动传感器等组成的乳化器故障诊断系统。并结合SQL Server、VB和Matlab等开发工具实现该故障诊断系统。测试结果表明,该系统具有可靠的诊断功能和可观的经济价值。

Emulsifier fault diagnostic system based on vibration signal analyzing

Aiming at improving the accurate and timeliness of emulsifier fault diagnosis,at first a fault diagnosis system of emulsifier based on vibration signal analyzing by wavelet packet analyzing was proposed.According to the structure character of emulsifier in the production line of powdered emulsion explosives,an emulsifier fault diagnostic system has been designed which including industrial personal computer（IPC）,programmable logic controller（PLC）,signal conditioning instruments and transducers of vibration signal.And with the utilization of development tools like SQL Serve,VB,and Matlab,an emulsifier fault diagnostic system was realized finally.The test results indicate that the system has a reliable diagnosis and considerable economic value.