轧钢过程故障诊断研究现状及发展趋势  

Current Situation and Future Trends of Fault Diagnosis Methods for Steel Rolling Processes

作　　者：赵会平[1] 陆宁云[2] 姜斌[2] 

机构地区：[1]宝山钢铁股份有限公司设备部,上海201900 [2]南京航空航天大学自动化学院,江苏南京210016

出　　处：《轧钢》2011年第1期48-53,共6页Steel Rolling

基　　金：上海市启明星计划资助项目(10QB1400200);国家自然科学基金(20806040);教育部博士点基金(20070287047)

摘　　要：针对轧钢过程特点,分析了轧制过程的主要故障,将故障划分为控制回路级、设备级和系统级。对轧钢过程故障诊断主要方法进行了归纳和分类,对各类方法的优缺点进行了定性分析,指出了故障诊断技术向智能化、系统化和综合化的发展趋势,以及轧钢过程故障诊断将来需要关注的两个研究方向。Based on analysis of the nature of the steel rolling process,the commonly occurred faults are grouped into three levels,i.e.control-loop level,device-level and system-level.Key fault diagnosis methods are classified and reviewed in terms of their motivations,developments and application prospective.Meanwhile,it points out the fault diagnosis technique is tending to be more intelligent,systematic and integrated.The review ends with the authors＇ personal views of challenges and future directions for the development of fault diagnosis methods in the steel rolling process.

关 键 词：轧钢过程 故障诊断 经验诊断 模型诊断 信号诊断 智能诊断 

分 类 号：TG333[金属学及工艺—金属压力加工]