基于SVM的旋转机械振动故障诊断模型及系统研究  

Research on Diagnostic Model and System of Rotating Machine Vibration Faults Based on SVM

作　　者：韩中合[1] 翟新杰 付士鹏[1] 朱霄珣[1] 

机构地区：[1]华北电力大学能源动力与机械工程学院,河北保定071003

出　　处：《煤矿机械》2015年第1期286-288,共3页Coal Mine Machinery

摘　　要：通过有向无环图多分类算法构造振动故障诊断模型的方法,同时基于Lab VIEW虚拟仪器开发平台设计了旋转机械振动故障在线诊断系统,并对相关硬件设备进行了选取研究。通过转子试验台模拟旋转机械运行故障,利用该系统对机械正常状态及故障状态进行诊断,取得了较好的诊断结果,验证了系统的可靠性。By directed Vibration fault online acyclic graph multiple classification algorithms based on support vector machine. diagnosis system for rotating machine is designed based on the virtual instrument development workbench in LabVIEW and relevant hardware devices are also selected. Last, the system is used to diagnosis normal state and fault states from the rotor test rig, gets a good result and verifies the reliability of the system.

关 键 词：支持向量机 旋转机械 振动故障 有向无环图 诊断系统 

分 类 号：TP277.3[自动化与计算机技术—检测技术与自动化装置]