期刊文献+

面向发电装备的远程协同故障诊断

The Oriented Multi-resource Remote Collaborative Diagnosis for the Complex Equipment
下载PDF
导出
摘要 远程协同故障诊断的主要关键支撑技术包括对装备现场健康状况信息的主动有效预处理,以及对多诊断资源参与协作过程中的规划,包括任务分配与资源配置两个子环节;最后一个关键技术为对多诊断结论的博弈决策。以移动发电车为对象,对远程协同诊断的关键支撑技术及其系统开发进行了验证,表明远程协同故障诊断具有快速、高效、资源共享等优点。 Aim to the puzzledom of complex equipment fauh diagnosis, the Remote Collaborative Fault Diagnosis (RCFD) with multi-diagnostic resources is an R&D direction. Primary contents include key supporting technologies and system realization of RCFD, and others. Thereinto, key technologies are composed by three issues: active and effective preprocessing on equipment on-site health information, and collaborative process planning of muhi-diag- the last key is- Taking truck nostic resources, which includes diagnostic task allocation and resource optimization two sub-issues, sue is decision fusion on some conflicting conclusion of diagnostic resources based on game theory. chassis system as example, the architecture and engineering application of RCFD has also expounded. Finnally, further studying points of RCFD Key words: remote cooperative are indicated. diagnosis local information preprocessing; task allocation; decision fusionfurther studying points of RCFD are indicated.
出处 《机械科学与技术》 CSCD 北大核心 2012年第9期1530-1534,1538,共6页 Mechanical Science and Technology for Aerospace Engineering
基金 国家自然科学基金项目(51075314)资助
关键词 远程协同故障诊断 现场信息预处理 任务分配 决策融合 remote cooperative diagnosis local information preprocessing task allocation decision fusion
  • 相关文献

参考文献4

二级参考文献12

  • 1钟培华,孙小玲.凹整数规划的分枝定界解法(英文)[J].运筹学学报,2005,9(1):13-20. 被引量:5
  • 2刘建辉.远程协同故障诊断原型的分析及研究[J].石油机械,2007,35(1):48-52. 被引量:4
  • 3HUANG M H,CHEN K Y,HO R W,et al.Development of an e-diagnostics/maintenance framework for semiconductor factories with security considerations[J].Advanced Engineering Informatics,2003,17(3-4):165-178.
  • 4THOMPSON H A.Wireless and Internet communications technologies for monitoring and control[J].Control Engineering Practice,2004,12(6):781-791.
  • 5KUSSEL R,LIESTMANN V,SPIESS M,et al.“TeleService”a customer-oriented and efficient service?[J].Journal of Materials Processing Technology,2000,107(3):363-371.
  • 6Casoetto N, Djurdjanovic D, Mayor R, Lee J. Multi-sensor process performance assessment through the use of autoregressive modeling and feature maps[ J]. Trans. SME/NAMRI, 2003, 31:483-490.
  • 7Pawla Z. AI and intelligent industrial applications: the rough set perspective[J]. Cybernetics and Systems, 2000,31:227 -252.
  • 8Zhong N, etal. Using rough sets with heuristics for feature selection [ J ]. Journal of Intelligent Information Systems, 2001, 16.199-214.
  • 9Muammer Koc,Jay Lee,邓军民.新一代电子维护系统的系统框架[J].中国机械工程,2001,12(5):531-534. 被引量:8
  • 10张荣涛,孙宇,张军.工程车辆的远程分布式智能监测、诊断、维护系统研究[J].中国机械工程,2002,13(12):1028-1031. 被引量:14

共引文献8

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