旋转机械振动监测快变报警系统研究及工程应用  

Study on Fast-Changing Alarm System of Rotating Machinery Vibration Monitoring and Its Application

作　　者：魏中青[1] 马波[1] 江志农[1] 李星[1] 

机构地区：[1]北京化工大学诊断与自愈工程研究中心,北京100029

出　　处：《机电工程技术》2010年第12期82-84,114,共4页Mechanical & Electrical Engineering Technology

基　　金：国家863高技术研究发展计划资助项目(编号:2007AA04Z433)

摘　　要：主要研究旋转机械设备突发性故障的早期预警技术,针对现有振动监测报警系统的不足,根据旋转机械设备运行过程中振动信号的特征值突变产生故障的机理,提出了一种利用高斯分布模型自学习获得快变报警阈值的方法,并研究开发了能有效捕捉突变故障信号的快变报警系统。通过工程应用实例分析,该快变报警系统能够较好地捕捉到旋转机械的突变故障信号,对于预防和诊断旋转机械突变故障的发生具有非常重要的作用。<Abstracts>The paper mainly research early warning of abrupt failure for rotating machinery equipment,in accordance with the limitation of routine alarm system of vibration monitoring.According to the abrupt mechanism of vibration signal eigenvalue,a method of acquiring threshold by adaptive learning algorithm based on Gauss distribution model is proposed.And a fast-changing alarm system which can effectively capture the abrupt fault signal is researched and developed.The fundamental implication and principle of fast-changing alarm,and the software realization process of fast-changing alarm system are mainly introduced.And through a project example analysis,this system can preferably capture the fast-changing fault signal of rotating machinery.It is important to diagnose and prevent happening of fast-changing fault for rotating machinery.

关 键 词：旋转机械 振动监测 突变故障 快变报警 自学习 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]