期刊文献+

雷达装备智能集成故障诊断 被引量:1

Research on Intelligent Integreated Fault Diagnosis for Radar Equipment
下载PDF
导出
摘要 现代雷达装备功能多、结构复杂、集成度高,其故障具有复杂性、层次性、相关性、延时性和不确定性。因此雷达装备故障模式多种多样,信号复杂,单一诊断模式已远远不能满足故障诊断的需要,基于现代雷达故障诊断的复杂性的现时需求,提出雷达装备智能集成故障诊断模型,给出了模型的诊断推理过程,对系统实现中的知识获取、知识表示和诊断推理方法进行了深入研究,该研究可以达到人类专家诊断过程相近的诊断效果,可大大提高雷达装备故障诊断的智能化水平。 Due to the multi-function, complex structure, high integration, its fault has features which is complexity, hierarchical, correlative, time-delayed and uncertain, thus radar equipment fault mode is complex, single mode fault diagnosis can not meet the need for the fault diagnosis, based on the need of complexity of modern radar fault diagnosis, paper puts forward the radar equipment intelligent integration fault diagnosis model, gives the diagnosis reasoning process of the model, gives a detailed research on knowledge obtaining, knowledge representation and diagnosis reasoning method of system realization, the research can attain a diagnosis effect closed to the human expert's diagnosis process and greatly enhances the intelligent level of radar equipment diagnosis.
出处 《火力与指挥控制》 CSCD 北大核心 2011年第2期171-173,187,共4页 Fire Control & Command Control
关键词 雷达 人工智能 故障诊断 智能集成 专家系统 radar,artificial intelligence, fault diagnosis, intelligent integration,expert system
  • 相关文献

参考文献4

  • 1蔡金燕,肖小锋,梁玉英,马飒飒.电子设备智能监测与诊断技术综述[J].测试技术学报,2005,19(2):204-208. 被引量:12
  • 2Stan Ofsthun. An Approach to Intelligent Integrated Diagnostic Design Tools [C]//AUTO TESTCON ' 91. IEEE Systems Readiness Technology Conference. Improving Systems Effectiveness in the Changing Environment of the '90s, Conference Record, 1991.
  • 3徐波,于劲松,李行善.复杂系统的智能故障诊断[J].信息与控制,2004,33(1):56-60. 被引量:22
  • 4金嘉旺 刘晓东.舰载雷达侦察设备故障诊断专家系统的研究与实现.舰船电子对抗,1997,11(6):14-17.

二级参考文献17

  • 1张文修 吴伟志 梁吉业.粗糙集理论与方法[M].北京:科学出版社,2003.107-112.
  • 2Nandi S, Toliyat H A. Condition monitoring and fault diagnosis of electrical machines-a review[A]. Thirty-fourth IAS annual meeting about industry applications[C]. Conference record of the 1999 IEEE, 1999, 1: 197-204.
  • 3Fenton W G, McGninity T M, Maguire L P. Fault diagnosis of electronic systems using intelligent techniques: a review[J]. IEEE transactions on systems, man and cybernetics, Part C: applications and reviews, 2001, 31(3): 269-281.
  • 4王永庆.人工智能原理与方法[M].西安:西安交通大学出版社,2003..
  • 5Shao J. Using rough sets for rough classification[A]. Seventh international workshop on database and expert systems applications[C]. 1996. 268-273.
  • 6Felix R, Ushio T. Rule induction from inconsistent and incomplete data using rough sets[A]. IEEE international conference on systems, man, and cybernetics[C]. 1999, (5): 154- 158.
  • 7Qiao B, Li Y R, Jiang J P. Hierarchical reduction approach of the rough sets theory and its basis on the information theory[A]. IEEE international conference on systems, man and cybernetics[C]. 2002, 103-108.
  • 8毕增军.[D].空军雷达学院,2000.
  • 9Pawlak Z. Rough sets and fuzzy sets[J]. Fuzzy sets and systems, 1985, 17(1): 88-102.
  • 10Dubois D, Prade H. Rough fuzzy sets and fuzzy rough sets[J]. Iht J general systems, 1990, 17: 191-208.

共引文献33

同被引文献10

引证文献1

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