首页 | 本学科首页   官方微博 | 高级检索  
     

基于RTLinux/Linux的计算机联锁系统可靠性分析
引用本文:姜绍萍.基于RTLinux/Linux的计算机联锁系统可靠性分析[J].自动化与仪器仪表,2021(2):65-68.
作者姓名:姜绍萍
作者单位:烟台汽车工程职业学院
基金项目:山东省一般课题:高职汽车技术服务与营销专业一体化教学改革研究(No.2013zcj088)。
摘    要:针对计算机联锁系统故障诊断多基于维修人员实际经验,无法实现快速、精准定位故障,基于贝叶斯网络在表达不确定性知识上的优势,提出了一套完善的计算机联锁系统故障的诊断方法和实现流程。首先,运用贝叶斯算法的理论知识,搭建了基于贝叶斯算法的计算机联锁系统故障诊断模型;然后对计算机联锁系统的整体架构和硬件、软件组成进行搭建。最后,以道岔局部控制电路故障为诊断主体,在RTLinux/Linux操作系统上完成数据采集和实验仿真。实验结果表明,提出的方法能够快速精准地定位计算机联锁系统的故障,缩短了故障诊断时间,提升了故障诊断的实际效果,可用于计算机联锁系统故障诊断的实际开发。

关 键 词:计算机联锁系统  LINUX  故障诊断  贝叶斯网络

Reliability analysis of computer interlocking system based on RTLinux/Linux
JIANG Shaoping.Reliability analysis of computer interlocking system based on RTLinux/Linux[J].Automation & Instrumentation,2021(2):65-68.
Authors:JIANG Shaoping
Affiliation:(Yantai Automobile Engineering Professional College,Yantai Shangdong 265500,China)
Abstract:the fault diagnosis of computer interlocking system is mostly based on the practical experience of maintenance personnel,which can not locate the fault quickly and accurately.Based on the advantages of Bayesian network in expressing uncertain knowledge,a set of perfect fault diagnosis method is proposed in this paper and process of computer interlocking system is implemented.First of all,the overall architecture,hardware and software composition of the computer interlocking system is introduced.Then,by using the theory of Bayesian algorithm,the fault diagnosis model of Computer Interlocking System Based on Bayesian algorithm is built.Finally,taking the switch local control circuit fault as the diagnosis subject,the experimental simulation is completed on RTLinux/Linux operating system.The experimental results show that the proposed method can quickly and accurately locate the fault of computer interlocking system,shorten the fault diagnosis time,improve the actual effect of fault diagnosis,and can be used in the practical development of computer interlocking system fault diagnosis.
Keywords:computer interlocking system  Linux  fault diagnosis  bayesian network
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号