基于解释结构模型的复杂系统故障诊断

doi:10.13229/j.cnki.jdxbgxb.20221642

吉林大学学报(工学版) ›› 2024, Vol. 54 ›› Issue (11): 3168-3174.doi: 10.13229/j.cnki.jdxbgxb.20221642

• 车辆工程·机械工程 • 上一篇

基于解释结构模型的复杂系统故障诊断

邱继伟^1,²(),罗海胜¹(),张亚¹,肖定国²,赵冠捷¹,马茂冬¹

^1.中国兵器工业标准化研究所质量研究室，北京 100089
^2.北京理工大学机械与车辆学院，北京 100081

收稿日期:2022-12-29 出版日期:2024-11-01 发布日期:2025-04-24
通讯作者: 罗海胜 E-mail:qiujiwei235@126.com;43365843@qq.com
作者简介:邱继伟（1986-），男，副研究员，博士. 研究方向：装备通用质量特性. E-mail： qiujiwei235@126.com
基金资助:
中央军委装备发展部技术基础项目(JZX7J202301ZL000300)

Fault diagnosis of complex system based on interpretive structural modeling

Ji-wei QIU^1,²(),Hai-sheng LUO¹(),Ya ZHANG¹,Ding-guo XIAO²,Guan-jie ZHAO¹,Mao-dong MA¹

^1.Office of Quality Research，China Ordnance Industrial Standardization Research Institute，Beijing 100089，China
^2.College of Mechanical and Vehicle，Beijing Institute of Technology，Beijing 100081，China

Received:2022-12-29 Online:2024-11-01 Published:2025-04-24
Contact: Hai-sheng LUO E-mail:qiujiwei235@126.com;43365843@qq.com

摘要/Abstract

摘要：

为实现复杂系统故障诊断，提出一种基于解释结构模型的复杂系统的故障诊断方法。首先，根据故障机理分析建立系统要素故障关联矩阵，应用解释结构模型，通过矩阵转换将复杂系统故障关联关系转化为直观的递阶层次结构模型，实现系统故障传播结构化和层次化；引入PageRank算法进行系统要素故障影响度与被影响度评估，根据同层组件影响度与被影响度大小及故障传递逻辑明确系统故障传递主因，为故障诊断提供依据。最后，以某设备为例进行具体应用，验证方法的有效性。

关键词: 系统工程, 应用解释结构模型, 故障诊断, 故障路径

Abstract:

In order to improve the fault management system of complex system， a fault diagnosis strategy based on interpretive structural modeling （ISM） is proposed. According to the fault mechanism analysis， the fault correlation matrix of system elements is established， and the interpretive structural model is applied to transform the complex system fault correlation relationship into an intuitive hierarchical model through matrix transformation， so as to realize the structure and hierarchical system fault propagation； The PageRank algorithm is introduced to evaluate the impact and influence of system element failures； The main cause of fault transmission is clarified through the magnitude of the impact related to component failure and the fault transmission logic， so as to provide a basis for fault diagnosis. Finally， a device is used as an example to verify the effectiveness of the method.

Key words: systems engineering, interpretive structural modeling, fault diagnosis, fault path

中图分类号:

TB114.3

邱继伟,罗海胜,张亚,肖定国,赵冠捷,马茂冬. 基于解释结构模型的复杂系统故障诊断[J]. 吉林大学学报(工学版), 2024, 54(11): 3168-3174.

Ji-wei QIU,Hai-sheng LUO,Ya ZHANG,Ding-guo XIAO,Guan-jie ZHAO,Mao-dong MA. Fault diagnosis of complex system based on interpretive structural modeling[J]. Journal of Jilin University(Engineering and Technology Edition), 2024, 54(11): 3168-3174.

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参考文献 22

1	张海瑞, 洪东跑, 赵宇, 等. 基于变动统计的复杂系统可靠性综合评估[J]. 系统工程与电子技术, 2015, 37(5): 1213-1218.
	Zhang Hai-rui, Hong Dong-pao, Zhao Yu, et al. Synthetic reliability assessment for complex system based on dynamic population statistics[J]. Systems Engineering and Electronics, 2015,37(5): 1213-1218.
2	李晗, 萧德云. 基于数据驱动的故障诊断方法综述[J]. 控制与决策, 2011, 26(1): 1-9.
	LI Han, Xiao De-yun. Survey on data driven fault diagnosis methods[J]. Control and Decision, 2011, 26(1): 1-9.
3	周东华, 史建涛, 何潇. 动态系统间歇故障诊断技术综述[J]. 自动化学报, 2014, 40(2): 161-171.
	Zhou Dong-hua, Shi Jian-tao, He Xiao. Review of intermittent fault diagnosis techniques for dynamic systems[J]. Acta Automatica Sinica, 2014, 40(2): 161-171.
4	Bhattacharyya S, Kumar R, Huang Z. A discrete event systems approach to network fault management: detection and diagnosis of faults[J]. Asian Journal of Control, 2011, 13(4): 471-479.
5	盛博, 邓超, 熊尧, 等. 基于图论的数控机床故障诊断方法[J]. 计算机集成制造系统, 2015, 21(6): 1559-1570.
	Sheng Bo, Deng Chao, Xiong Yao, et al. Fault diagnosis for CNC machine tool based on graph theory[J]. Computer Integrated Manufacturing Systems, 2015, 21(6): 1559-1570.
6	Liu H M, Liu D W, Lu C, et al. Fault diagnosis of hydraulic servo system using the unscented kalman filter[J]. Asian Journal of Control, 2014, 16(6): 1713-1725.
7	韩光臣, 孙树栋, 司书宾. 基于图论的复杂系统建模技术研究[J]. 机械科学与技术, 2005, 24(9): 1118-1121.
	Han Guang-chen, Sun Shu-dong, Si Shu-bin. Research on complex system modeling technology based on graph theory[J]. Mechanical Science and Technology, 2005, 24(9): 1118-1121.
8	刘鹏鹏, 左洪福, 苏艳, 等. 基于图论模型的故障诊断方法研究进展综述[J].中国机械工程, 2013, 24(5): 696-703.
	Liu Peng-peng, Zuo Hong-fu, Su Yan, et al. Review of research on fault diagnosis based on graph theory[J]. China Mechanical Engineering, 2013, 24(5): 696-703.
9	Yokabed B, Mohammad J, Mahdi K, et al. The application of ISM model in evaluating agile suppliers selection criteria and ranking suppliers using fuzzy topsis-ahp methods[J]. Expert Systems with Applications, 2015, 42(15/16): 6224-6236.
10	王守相, 张一帆, 葛磊蛟. 新型城镇配电网影响因素解释结构模型[J]. 电力自动化设备, 2015, 35(11): 75-81.
	Wang Shou-xiang, Zhang Yi-fan, Ge Lei-jiao. Interpretative structural model of influencing factors for distribution network of new-type town[J]. Electric Power Automation Equipment, 2015, 35(11): 75-81.
11	Sun S G, Shen G X, Zhang Y Z, et al. Failure analysis of machining center based on ISM and FMECA[J]. Journal of Hunan University (Natural Sciences), 2015, 42(8): 47-52.
12	杨科. 基于高阶统计的非线性故障诊断方法的研究[D]. 北京: 北京化工大学信息学院, 2014.
	Yang Ke. Nonlinear fault diagnosis method based on high-order statistics[D]. Beijing: Faculty of Information, Beijing University of Chemical Technology, 2014.
13	Ou L, Chen Y, Zhang J, et al. Dematel-ISM-based study of the impact of safety factors on urban rail tunnel construction projects[J]. Computational Intelligence and Neuroscience, 2022, 2022: 1-12.
14	张英芝, 吴茂坤, 申桂香, 等. 基于DEMATEL/ISM的组合机床故障相关性分析[J]. 工业工程, 2014, 17(3): 92-96.
	Zhang Ying-zhi, Wu Mao-kun, Shen Gui-xiang, et al. An analysis of failure correlation of assemble machine tool based on DEMATEL/ISM[J]. Industrial Engineering Journal, 2014, 17(3): 92-96.
15	刘金平, 王杰, 刘先锋, 等. 基于递归稀疏主成分分析的工业过程在线故障监测和诊断[J]. 控制与决策, 2020, 35(8): 2006-2012.
	Liu Jin-ping, Wang Jie, Liu Xian-feng, et al. Online fault monitoring and diagnosis using recursive sparse principal component analysis[J]. Control and Decision, 2020, 35(8): 2006-2012.
16	朱大锐, 王睿, 程文姬, 等. 基于改进PageRank算法的输电网关键节点辨识方法研究[J]. 电力系统保护与控制, 2022, 50(5): 86-93.
	Zhu Da-rui, Wang Rui, Cheng Wen-ji, et al. Critical transmission node identification method based on improved PageRank algorithm[J]. Power System Protection and Control, 2022, 50(5): 86-93.
17	范华. 多维网络中基于PageRank的节点中心性度量方法研究[D]. 沈阳: 辽宁大学信息科学与技术学院, 2020.
	Fan Hua. Research on node centrality measurement based on PageRank in multi-dimensional networks[D]. Shenyang: School of Information Science and Technology, Liaoning University, 2020.
18	应毅, 黄慧, 刘定一. 基于PageRank的热点发现混合算法研究[J]. 计算机技术与发展, 2019, 29(9): 81-85.
	Ying Yi, Huang Hui, Liu Ding-yi. Research on hotspot detection hybrid algorithm based on PageRank[J]. Computer Technology And Development, 2019, 29(9): 81-85.
19	Gleich D F. PageRank beyond the web[J]. SIAM Review, 2015, 57(3): 321-363.
20	Sungchan P, Wonseok L, Byeongseo C, et al. A survey on personalized PageRank computation algorithms[J]. IEEE Access, 2019, 7: 163049-163062.
21	Kohlschütter C, Chirita P, Nejdl W. Efficient parallel computation of PageRank[J]. Lecture Notes in Computer Science, 2006, 3936(1): 241-252.
22	Zhang Y Z, Mu L M, Shen, G X, et al. Fault diagnosis strategy of CNC machine tools based on cascading failure[J]. Journal of Intelligent Manufacturing, 2019, 30(5): 2193-2202.

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系统代码	中心度	系统代码	中心度
主轴系统S	1.812 5	电气系统V	1.343 75
刀库M	1.015 625	气动系统G	0.628 75
进给系统J	1.956 875	润滑系统L	0.562 5
数控系统NC	0.875	冷却系统W	0.5
液压系统D	0.625	排屑系统K	0.25

基于解释结构模型的复杂系统故障诊断

Fault diagnosis of complex system based on interpretive structural modeling

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