Volume 41 Issue 11
Nov.  2015
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WEN Tianzhu, XU Aiqiang, SUN Weichaoet al. Fault diagnosis method based on extension case-based reasoning[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(11): 2124-2130. doi: 10.13700/j.bh.1001-5965.2014.0736(in Chinese)
Citation: WEN Tianzhu, XU Aiqiang, SUN Weichaoet al. Fault diagnosis method based on extension case-based reasoning[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(11): 2124-2130. doi: 10.13700/j.bh.1001-5965.2014.0736(in Chinese)

Fault diagnosis method based on extension case-based reasoning

doi: 10.13700/j.bh.1001-5965.2014.0736
  • Received Date: 24 Nov 2014
  • Rev Recd Date: 04 Jan 2015
  • Publish Date: 20 Nov 2015
  • Extension case-based reasoning is a kind of knowledge reasoning method which is the combination of the extenics and case-based reasoning. Firstly, the representation of extension case using compound element was introduced, and the similarity computing method of fault symptom with interval value was given. Secondly, the reasoning process of extension case was analyzed; in the retrieve of extension cases, rough set method was adopted to confirm weight of fault symptom, and search strategy guided by rules was proposed; in the reuse of extension cases, conductive transformation was adopted to fulfill the reuse of extension case according to different search results; in the revise of extension cases, increasing and decreasing transform were adopted to add or delete fault symptoms of reused extension case and change their weight; in the retain of extension cases, three retain modes of revised extension case were discussed, including adding, deleting and replacing. Thirdly, the fault diagnosis process of this method was explained by an application case, and the time complexity of extension case retrieve was analyzed. By the comparison of the proposed search strategy and global search strategy, it is known that using the proposed search strategy can increase search efficiency and improve diagnosis speed.

     

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  • [1]
    Dendani-Hadiby N, Khadir M T.A fault diagnosis application based on a combination case-based reasoning and ontology approach[J].International Journal of Knowledge-based and Intelligent Engineering Systems, 2013, 17(4):305-317.
    [2]
    张秦岭,郭宏,姜旭.大型无人机电源系统故障诊断专家系统[J].北京亚洲成人在线一二三四五六区学报, 2013, 39(8):1026-1030. Zhang Q L, Guo H, Jiang X.Fault diagnosis expert system for electric power system of large-scale UAVs[J].Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(8):1026-1030(in Chinese).
    [3]
    李青,史雅琴,周扬.基于案例推理方法在飞机故障诊断中的应用[J].北京亚洲成人在线一二三四五六区学报, 2007, 33(5):622-626. Li Q, Shi Y Q, Zhou Y.CBR methodology application in fault diagnosis of aircraft[J].Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(5):622-626(in Chinese).
    [4]
    Im H K, Park S C.Case-based reasoning and neural network based expert system for personalization[J].Expert Systems with Applications, 2007, 32(1):77-85.
    [5]
    贾艳华,莫蓉,杨海成,等.基于可拓理论的CBR系统实例检索模型[J].计算机工程与应用, 2013, 49(2):258-260. Jia Y H, Mo R, Yang H C, et al.Model for case retrieval in CBR system based on extenics[J].Computer Engineering and Applications, 2013, 49(2):258-260(in Chinese).
    [6]
    韩丹.基于CBR及可拓学的汽车故障诊断系统研究[D].合肥:合肥工业大学, 2010. Han D.Research of automotive fault diagnosis system based on CBR and extenics[D].Hefei:Hefei University of Technology, 2010(in Chinese).
    [7]
    豆增发.基于可拓规则和案例推理的混合专家系统[D].西安:西安电子科技大学, 2007. Dou Z F.A novel hybrid expert system based on extension rule and case-based reasoning[D].Xi'an:Xidian University, 2007(in Chinese).
    [8]
    Xu M, Yu H Y, Shen J.New algorithm for CBR-RBR fusion with robust thresholds[J].Chinese Journal of Mechanical Engineering, 2012, 25(6):1255-1263.
    [9]
    Yang C Y, Cai W.Extenics theory, method and application[M].Beijing:Science Press, 2013:49-68.
    [10]
    柳玉,贲可荣.案例推理的故障诊断技术研究综述[J].计算机科学与探索, 2011, 5(10):865-879. Liu Y, Ben K R.Survey of fault diagnosis based on case reasoning[J].Journal of Frontiers of Computer Science and Technology, 2011, 5(10):865-879(in Chinese).
    [11]
    Lau A, Tsui E, Lee W B.An ontology-based similarity measurement for problem-based case reasoning[J].Expert Systems with Applications, 2009, 36(3):6574-6579.
    [12]
    王国胤,姚一豫,于洪.粗糙集理论与应用研究综述[J].计算机学报, 2009, 32(7):1229-1247. Wang G Y, Yao Y Y, Yu H.A survey on rough set theory and applications[J].Chinese Journal of Computers, 2009, 32(7):1229-1247(in Chinese).
    [13]
    Geng Z Q, Zhu Q X.Rough set-based heuristic hybrid recognizer and its application in fault diagnosis[J].Expert Systems with Applications, 2009, 36(2):2711-2718.
    [14]
    Qi J, Hu J, Peng Y H, et al.A case retrieval method combined with similarity measurement and multi-criteria decision making for concurrent design[J].Expert Systems with Applications, 2009, 36(7):1036-1057.
    [15]
    王波.基于CBR的飞机机载设备故障诊断系统[D].西安:西北工业大学, 2007. Wang B.Fault diagnosis system of on-board equipments of airplane by case-based reasoning[D].Xi'an:Northwestern Polytechnical University, 2007(in Chinese).
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