期刊文献+

远程故障诊断系统中的故障信息研究 被引量:3

A Research on Fault Information in Remote Fault-Diagnosis System
在线阅读 下载PDF
导出
摘要 现有远程故障诊断系统常集中于对系统诊断模式和方法研究。结合信息理论和系统理论的观点,以故障信息为研究的出发点,指出远程故障诊断系统是一个完整的信息处理过程,研究并分析了信息获取的几种常用方式,给出了信息获取的一般模型。指出在网络带宽有限、故障信息庞大的情况下需要合理优化信息、合理配置资源和传输任务。研究表明在远程故障诊断中对故障信息的研究是系统的根本,立足于信息处理的观点和方法来考虑问题将有益于系统高效合理的运行。 The research on the remote fault-diagnosis system in existence is often centered on the diagnosis model and method. Here, following the viewpoint of information theory and system theory and taking the fault information as a beginning, it is pointed out that the remote fault-diagnosis system is a complete process of information processing. Through researching on and analyzing several ways of information acquiring, a general model of information acquiring is presented. Moreover it is pointed out that reasonable information optimizing, resource configuring and mission transporting are important and necessary on condition that the network band-width is limited and the fault information is of huge amount. The present research shows that the studying of fault information is the basis or core of the system in remote fault diagnosis, and it is helpful to the effective and reasonable operation of the system to consider problems from the viewpoint and method of information processing.
出处 《空军工程大学学报(自然科学版)》 CSCD 2004年第5期39-41,共3页 Journal of Air Force Engineering University(Natural Science Edition)
基金 军队科研基金资助项目
关键词 远程故障诊断 故障信息 信息获取 remote fault diagnosis fault information information acquiring
  • 相关文献

参考文献6

二级参考文献13

  • 1姚新,陈国良,徐惠敏,刘勇.进化算法研究进展[J].计算机学报,1995,18(9):694-706. 被引量:102
  • 2阎明印.具有学习功能的机械设备故障智能诊断的研究[M].武汉:华中理工大学,1993..
  • 3史忠植,高级人工智能,1998年
  • 4吴泉源,人工智能与专家系统,1995年
  • 5王永庆,人工智能原理、方法、应用,1994年
  • 6沈锦泉(译),人工智能与专家系统开发原则,1991年
  • 7赵锐清,知识表示与推理,1991年
  • 8Zhong Qiuxi,计算机工程与科学,2000年,22卷,1期,14页
  • 9Yu Kwong Kwok,J Parallel Distributed Computing,1997年,47卷,1期,58页
  • 10李明禄,盛焕烨.远程医学系统的设计与实现[J].世界网络与多媒体,1998,6(1):20-20. 被引量:3

共引文献90

同被引文献15

  • 1宋刚,胡德金.基于Sugeno模糊模型的数控机床故障诊断法[J].上海交通大学学报,2005,39(1):91-94. 被引量:6
  • 2John P TMo, Christopher Menzel. An integrated progress model driven knowledge based system for remote customer support [ J ]. Computer in Industry, 1996,4 (15) :424- 430.
  • 3Ray A K. Equipment fault diagnosis-a neural network approach [ J ]. Computers in Industry, 1991,16 (22) : 169-177.
  • 4Karpenko M, Sepehri N. Neural network classifiers applied to condition monitoring of apneumatic process valve actuator [ J ]. Engineering Applications of Artificial Intelligence ,2002,15 ( 3 ) :273-283.
  • 5Kebabjian R. Accident statistics. [ EB/OL]. (2006-12-19) [ 2008-09-10]. http://www, planecrashinfo, com/20061219, html.
  • 6Khomfoi S, Tolbert L O. Fault diagnosis for a multilevel inverter using a principal component neural network [ J ]. IEEE Power Electronics Specialists Conference, 2007,22 ( 3 ) : 1062-1069.
  • 7Rodriguez J, Hammond P W, Pott J, et al. Operation of a medium-vohage drive under faulty conditions [ J ]. IEEE Trans Ind Electron, 2005,52 (4) : 1080-1085.
  • 8Tallam R M, Habetler T G, Harley R G. Transient model for induction machines with stator winding turn faults [ J ]. IEEE Trans, on Industry Applications ,2002,38 ( 3 ) :632-637.
  • 9Roya Javadpour.A Fuzzy Neural Network Approach to Machine Condition Monitoring[J].Computers & Industrial Engineering,2003,(45):323-330.
  • 10张周锁,闫晓旭,成玮.粒计算及其在机械故障智能诊断中的应用[J].西安交通大学学报,2009,43(9):37-41. 被引量:7

引证文献3

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部