期刊文献+

基于Multi-agent的电梯曳引机故障诊断系统研究 被引量:5

Study of fault diagnosis for traction machine of elevator based on Multi-agent
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摘要 在传统故障诊断的基础上,利用MAS系统的自主性、分布性、自适应性、同时对环境具有较强的适应性等特点,将多智能体(MAS)技术引入电梯曳引机故障诊断领域。基于Agent技术构造了一种MAS电梯曳引机故障诊断模型,设计了主要Agent,阐述了MAS电梯曳引机故障诊断系统的组织结构和关键技术,分析了基于MAS的电梯曳引机故障诊断方法和过程。该系统具有可扩充性、诊断资源可重用性、诊断过程自主性等优点,具有极好的推广价值。 Intelligent agent technology is applied in fault diagnosing of elevator traction machine for its stronger adaptability to environment,autonomy,distributivity and adaptivity of MAS system based on traditional fault diagnosis.Based on Agent technology a fault diagnosing model for MAS elevator traction machine is constructed,then main Agent is designed and the mechanism and key technology of fault diagnosing system of MAS elevator traction machine is expatiated.Meanwhile the methods and process of traction machine are analyzed based on MAS.The system has advantages of expandability,diagnosis resources reusability and diagnosis process autonomy,which is valuable for popularizing.
出处 《机械设计与制造》 北大核心 2011年第11期183-185,共3页 Machinery Design & Manufacture
基金 江苏省社会发展计划项目BS2007083
关键词 故障诊断 智能体 多智能体系统 电梯 曳引机 Fault diagnosis agent MAS(multi-agent system) Elevator Traction machine
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参考文献9

  • 1Gang Niu, Sun -Soon Lee, Bo -Suk Yang and Soo -Jong Lee, Decision fusion system for fault diagnosis of elevator traction machine[ J ].Journal of Mechanical Science and Technology, 2008, (22) : 85-95.
  • 2国家安全生产监督管理局,国家安全生产科技发展规划-交通运输建筑等领域研究报告[R](2004-2010).
  • 3Awadallah, Mohamed A.Morcos, Medhat M.Application of AI tools in fault diagnosis of electrical machines and drives-An overview Source.IEEE Transactions on Energy Conversion, 2003,18 (7) : 245-251.
  • 4Obeid,Nadim.On multi-agent fault diagnosis.Recent Advances in Intelligent Systems and Signal Processing, Recent Advances in Intelligent Systems and Signal Processing, 2003 : 252-257.
  • 5李鸣,魏震生.基于多Agent的复杂装备远程故障诊断系统[J].国外电子测量技术,2005,24(11):51-54. 被引量:4
  • 6李鸣,魏震生.多Agent的智能故障诊断系统[J].火力与指挥控制,2007,32(7):83-86. 被引量:8
  • 7戴剑伟,蒋晓原,徐捷,陈立新.基于多Agent的地面作战建模仿真研究[J].系统仿真学报,2001,13(S2):69-72. 被引量:9
  • 8蒋伟进.基于GA和MAS的分布式任务调度算法研究与实现[J].计算机科学,2002,29(9):443-447.
  • 9蒋伟进,金可音,沈智慧,王润球.基于MA和BP的虚拟企业动态建模及关键技术研究[J].信息与控制,2002,31(4):329-335. 被引量:25

二级参考文献21

  • 1Xu Xiao-Fei,Zhan De-chen,et al.Dynamic alliance methodology. Computer Integrated Manufacturing System,1999,1(2):7~12(in Chinese)
  • 2Kosanek,Vernadet F,Zelm M.CIMOSA:Enterprise engineering and integration[J].Computersin Industry, 1999, 40:83~97
  • 3LI Hong,Theodore J Wiuiams. The interconnected chain of enterprise as presented by the purdue enterprise reference architecture[J].computer in Industry,2000,42:265~274
  • 4M. Wooldrigde, et al. Intelligent Agents: Theory and Practice [J]. Appears in Knowledge Engineering Review, Vol. 10:2, pp.212-223,1995.
  • 5Baek Jong-Wook, Park Jong-Tae, Seo Dong-il. End-to-end internet/intranet service management in multi-domain environment using SLA concept[J]. IEEE Symposium Record on Network Operations and Management Symposium, 2000.4:989-990.
  • 6Brazier F M T,Jonker C M, Treur J.Principles of Compostional Multi-agent System Development[J]. Proc.of the IFIP98 Conference IT& KNOWS98, Cuena J (ed.) ,Chapman and Hall,1998.
  • 7Michael Wooldridge. An Introduction to MultiAgent Systems[M]. 石纯一等译. 北京:电子工业出版社,2003.
  • 8N.Mani. Towards a cooperative multi-agent approach for computer aided VLSI design[J]. IEEE Proc, 78(3): pp.2119-2123,1996.
  • 9J.A. Hossack, J. Menal, S.D.J. McArthur, J.R. McDonald, "A Multi-Agent Architecture for Protection Engineering Diagnostic Assistance"[J], IEEE Transactions on Power Systems, Vol. 18, no. 2, May 2003.
  • 10Minyou Chen. Neuro-Expert approach to characteristics recognition for process monitoring, and performance evaluation[J]. International Journal of Intelligent Systems.1997.

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