基于过程统计的轧机厚控系统故障诊断  

Fault Diagnosis of Rolling Mill AGC System Based on Statistical Process

作　　者：谭树彬[1] 刘建昌[1] 钟云峰[2] 

机构地区：[1]东北大学流程工业综合自动化教育部重点实验室,辽宁沈阳110004 [2]宝山钢铁股份公司热轧厂,上海201900

出　　处：《控制工程》2007年第6期665-667,共3页Control Engineering of China

基　　金：高等学校博士学科点专项科研基金资助项目(20060145025);辽宁省自然科学基金资助项目(20052033)

摘　　要：针对采用设备故障诊断方法对轧机厚控系统设备部件进行故障诊断时,只能对厚控系统的局部环节进行诊断的不足,评价了轧机厚控系统的整体性能。采用过程统计的方法对带钢厚度偏差的分布规律进行实时分析,建立带钢出口厚度偏差的过程统计控制图,并结合轧机设备运行过程中一些必要的设备状态信息,从机理上诊断出几类典型的故障现象,从而完善了轧机厚控系统的故障诊断。To the problem that only some local faults of equipments in the rolling mill automatic gauge control system can be diagnosed when equipment fault diagnosis method is adopted to diagnose the faults of the equipments, the statistical process method is used to analyze distributing law of strip thickness departure at real time, and to judge the whole capability of the automatic gauge control system. Some kinds of representative faults are diagnosed based on the distributing law of strip thickness departure and the necessary condition signals of some working equipments. The fault diagnosis on the rolling mill automatic gauge control system becomes more perfect.

关 键 词：故障诊断 自动厚度控制 过程统计 轧机 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]