基于神经网络的旋转门故障诊断系统的应用研究  

The Application Study of the Automatic Revolving Door Fault Diagnosis System Based on the Neural Network

作　　者：张勇[1] 苏春堂[2] 

机构地区：[1]安阳工学院机械工程系,河南安阳455000 [2]安阳鑫盛机床有限公司,河南安阳455000

出　　处：《安阳工学院学报》2008年第6期5-7,34,共4页Journal of Anyang Institute of Technology

摘　　要：为了让用户对旋转门性能状况了如指掌,操作起来胸有成竹,同时为旋转门维修和管理提供参考资料,设计具有故障自诊断功能的旋转门是非常有必要的。以离线方式运行,通过适当的算法处理,给出系统故障信息,包括故障位置信息、故障程度信息和故障报警信息等,以便管理人员对症下药,及时采取措施,从而避免事故的发生。To allow users to be well aware of the performance and operation of the revolving door,and give reference for the maintenance and management as well,it is necessary to design the function of fault diagnosis.Operated in way of offline movement and by suitable algorithm processing,the failure information of the system was given,including the fault location,degree,failure alarm and so on.Therefore the administrator can act appropriately to the situation,take measures promptly,avoid the fault expanding,and avoid accident's occurrence.

关 键 词：旋转门 神经网络 故障诊断 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]