Fault diagnosis method based on extension case-based reasoning
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摘要: 可拓案例推理是将可拓学与案例推理结合后形成的一种知识推理方法.首先介绍了可拓案例的复合元表示,并重点给出了区间型故障征兆的相似度计算方法.然后分析了可拓案例推理过程,在可拓案例检索中,采用了粗糙集方法确定故障征兆权重,并提出规则引导的检索策略;在可拓案例重用中,采用可拓传导变换实现了针对不同检索结果的可拓案例重用;在可拓案例修改中,采用可拓增删变换完成了对重用可拓案例的故障征兆和权重的增删;在可拓案例保存中,讨论了对修改可拓案例进行保存的添加、删除和替换3种方式.最后通过应用案例说明采用该方法进行故障诊断的过程,并对可拓案例检索的时间复杂度进行分析,将本文提出的检索策略与全局检索策略进行比较,结果表明采用本文提出的检索策略可以提高检索效率,加快诊断速度.Abstract: 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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Key words:
- extenics /
- case-based reasoning /
- case retrieve /
- fault diagnosis /
- extension transformation
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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].北京航空航天大学学报, 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].北京航空航天大学学报, 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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