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基于信息博弈的协同诊断决策 被引量:1

Collaborative diagnosis decision based on information game theory
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摘要 面对装备日益增加的复杂性和对诊断系统能力的高需求,多诊断资源的远程协同诊断成为趋势.针对协同诊断中存在的资源决策冲突问题,引入了博弈理论;介绍了扩展博弈决策模型及其操作流程,通过双支付参数分别讨论了决策中心与诊断资源联盟间的成本博弈、诊断资源间的决策信息熵递减博弈;并运用多属性决策方法进行决策结论的仲裁.以工程装备故障为例,简述了本博弈决策实施过程. With the increases of the complexity of equipment and the performance requirement of diagnosis systems,the remote collaborative fault diagnosis(RCFD)with multi-diagnosis resources becomes a research and development tend.Game theory is introduced in the collaborative diagnosis to solve the resource decision conflict problem in RCFD.An extended game decision model and its operating process are described;the cost game between decision center and diagnosis resource alliance and the decision information entropy decreasing game between diagnosis resources are discussed respectively through double payoff parameters;different diagnosis conclusions are arbitrated using multi-attributes decision method.Taking an engineering equipment fault diagnosis,the implementation process of the decision game is described.
作者 刘建辉
出处 《西安石油大学学报(自然科学版)》 CAS 2008年第6期86-90,共5页 Journal of Xi’an Shiyou University(Natural Science Edition)
基金 西安建筑科技大学青年科技基金(QN0729)
关键词 远程协同诊断 博弈论 双支付参数 多属性决策 remote collaborative fault diagnosis game theory double payoff parameter multi-attribute decision
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参考文献5

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同被引文献5

  • 1韦绥线,黄胜华.一种仿Dijkstra的蚂蚁算法[J].计算机应用,2005,25(12):2908-2910. 被引量:4
  • 2Janos Gertler, Jin Cao. Design of optimal structured residuals from partial principal component models for fault diagnosis in linear sys- tems [J]. Journal of Process Control, 2005, 15: 585 -603.
  • 3Jianhui Liu, Xiansheng Qin. A Method of Task Allocation for Collabora- tive Diagnosis [A]. Proceedings of the 2008 12 # International Confer- ence on Computer Supported Cooperative Work in Design ( CSCWD2008 ) [C]. Xi' an, China, April 2008, Published by the Institute of Electrical and Electronics Engineers Inc, Page: 930 - 936.
  • 4王正元,朱昱,宋建社,刘伟.动态维修任务调度的优化方法[J].机械工程学报,2008,44(1):92-97. 被引量:31
  • 5战洪飞,顾新建,沈祖志.基于Web的企业远程协同诊断系统研究[J].中国机械工程,2004,15(2):146-149. 被引量:13

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