期刊文献+

飞机机电系统PHM的综合诊断推理机设计 被引量:5

Design for Integrated Diagnosis Inference Engine for PHM of Aircraft Electromechanical System
下载PDF
导出
摘要 在分析区域级PHM功能及区域管理器结构的基础上,开展了综合诊断推理机设计基础准备工作,包括机电系统功能建模、aFMECA分析、机电系统关联分析。最终,设计出飞机机电系统PHM综合诊断推理机的结构及其工作流程。所设计的综合诊断推理机综合了以往多种推理机的推理机制,更加系统全面地实现了对飞机机电系统的综合诊断功能,具有一定的工程应用价值。 This paper introduces the design of inference engine for integrated diagnosis based on the prognostics and health management (PHM) of aircraft electromechanical system. According to the analysis of PHM area levelr s functions and manager structure, the preparations for inference engine design related to integrated diagnosis are carried out, including system functional modeling, augmented failure mode effect and criticality analysis (aFMECA) analysis and correlation analysis. Finally, the general structure of inference engine is designed with its workflow is given. By integrating several former inference mechanisms, the proposed inference engine for diagnosis can fully realize the integrated diagnosis functions of electromechanical system and has great value for engineering applications.
出处 《南京航空航天大学学报》 EI CAS CSCD 北大核心 2011年第B07期114-118,共5页 Journal of Nanjing University of Aeronautics & Astronautics
基金 国家自然科学基金(61074083 50705005)资助项目 国防技术基础支持项目
关键词 推理机 区域管理器 aFMECA分析 关联分析 inference engine area level manager augmented failure mode effect and criticality analysis (aFMECA) correlation analysis
  • 相关文献

参考文献13

二级参考文献46

  • 1徐涛,王祁.一种神经网络预测器在传感器故障诊断中的应用[J].传感技术学报,2005,18(2):235-237. 被引量:13
  • 2曾声奎,Michael G.Pecht,吴际.故障预测与健康管理(PHM)技术的现状与发展[J].航空学报,2005,26(5):626-632. 被引量:281
  • 3Iserman R. Model based fault detection and diagnosis methods [ C ]//Proceedings of American Control Conference. 1995.
  • 4Rao N. Computational complexity issues in operative diagnosis of graph-based system [ J ]. IEEE Trans. on computers. 1993,42(4) :447-457.
  • 5Kleer D, Willianms J,et al. Diagnsosising multiple faults. Artificial Inteligence [ J ]. 1987,32 ( 1 ) :97-130.
  • 6Beasley J E. An algorithm for set covering problems. Journal of Operational Research[J]. 1987,31:85-93
  • 7Isernan R. Model based fault detection and diagnosis methods [ C ]//Proceedings of American Control Conference. 1995.
  • 8Shakeri M, Raghavan V, et al. Sequential testing algorithms for multiple fault diagnosis [ J ]. IEEE Transactions on Systems. Man and Cybernetics, Part A: Systems and Humans, 2000, 30(1) :1-14.
  • 9Frank P M. Fault diagnosis in dynamic systems via state estimation-a survey [ C ]//Proceeding of First European Workshop on Fault Diagnostics Reliability and Related Knowledge Based Approach. 1987.
  • 10印鉴 刘星成 等.专家系统原理与编程[M].机械工业出版社,2000..

共引文献112

同被引文献61

  • 1邓志伟,徐凯,张天宏.边界扫描技术在电子控制器测试中的应用[J].航空动力学报,2009,24(4):886-891. 被引量:5
  • 2Shi Xiaolin, Zhu Jun, Cai Rui, et al. User grouping behavior in online forums[C]//International Confer- enee on Knowledge Discovery and Data Mining. Paris: ACM, 2009: 777-785.
  • 3Newman M E J. Finding community structure in networks using the eigenvectors of matrices [J]. Physical Reviem E, 2006,7,1 (3) : 036104.
  • 4Xu Kaiquan, Li Jiexun, Stephen S Y. Sentiment community detection In social networks [C]//Pro- ceedings of the 2011 iConJerence. Seattle: ACM, 2011:804-805.
  • 5Backstrom L, Huttenlocher D, Kleinberg J, et al. Group formation in large social networks: member- ship, growth, and evolution[C]//Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Philadelphi- a: ACM, 2006: 44-54.
  • 6Aldashev G, Carlletti T. Benefits of diversity, com- munication costs, and public opinion dynamics[J].Complexity, 2009, 15(2): 54-63.
  • 7Chi Yun, Song Xiaodan, Zhou Dengyong, et al. On evolutionary spectral clustering[J]. ACM Transac- tions on Knowlege Discovery from Data, 2009, 3 (4) : 1-30.
  • 8Newman M E J. Analysis of weighted networks[J]. Physieal Review E, 2004, 70(5): 056131.
  • 9Newman M E J, Girvan M. Finding and evaluating community structure in networks [J]. Physical Re- view E, 2004, 69(2): 026113.
  • 10Newman M E J. Fast algorithm for detecting com- munity structure in networks[J]. Physical ReviewE, 2004, 69(6): 066133.

引证文献5

二级引证文献537

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