支持向量机的高速线材精轧机组主电机故障智能诊断系统  

Research on the Intelligent Fault Diagnosis System for Main Electromotor of High Speed Wire Rolling Sets Based on Support Vector Machine

作　　者：但斌斌[1] 陈奎生[1] 应保胜[1] 

机构地区：[1]武汉科技大学机械自动化学院,武汉430081

出　　处：《组合机床与自动化加工技术》2009年第2期41-43,49,共4页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：国家自然科学基金项目(NO.50705069)

摘　　要：为了保证高速线材厂精轧机组主电机安全高效的运行,根据支持向量机理论(SVM),构建了某高速线材厂精轧机组主电机故障诊断系统。系统充分考虑温度、振动、电机电流及电机电压等因素对精轧机组主电机的影响,通过设计安装测点,对主电机进行监测,并运用SVM对其可能出现的故障予以预测及诊断;同时,将诊断输出值引入数据样本库,组成了智能诊断系统,提高了故障诊断结论的准确性。In order to ensure the safety of the high speed wire rolling sets＇ main motor and highly efficient operation, according to the theory of support vector machine （SVM）, Construction of the intelligent trouble diagnosis system for main electromotor of high speed wire rolling sets. Give full consideration to the system temperature, vibration, electricai current, electrical voltage and other factors, through design and installation the measuring point, monitoring the main motor, and use the SVM theory to predict and diagnose the possible failures, make the diagnosis output data into the database. Composed of intelligent diagnosis system, improve the accuracy of fault diagnosis.

关 键 词：支持向量机 精轧机组 主电机 故障诊断系统 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]