基于改进多色集合的动车组转向架系统故障传播模型研究
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摘要
综合考虑系统拓扑与部件故障模式的影响,建立可描述转向架系统内部耦合关系的系统全局拓扑网络模型,结合拓扑和功能双重属性,提出了基于Choquet积分的节点综合重要度计算方法和基于节点故障扩散强度的单节点故障传播深度模型,构建基于改进多色集合理论的系统故障传播模型并进行了应用研究。结果表明,该方法可以有效地找出转向架系统中任意部件失效所有可能的传播路径,并对各路径发生的可能性进行排序,从而为系统设计改进、故障预防与维修提供了理论依据。
Combined with the topological structure of bogie system and the effect of component failure mode, the holistic topological networked model, firstly, was constructed to describe the internal coupling relationship of complex electromechanical system based on network theory. On the basis of this networked model, failure pervasion intensity was determined to study failure propagation process of single node by functional-topological importance(FTI) and failure modes with combination of the grade diffusing process. Subsequently, fault propagation model for the whole system was established according to the improved polychromatic sets theory and failure pervasion intensity for single node. The model is suitable for analyzing all possible fault propagation paths for any component failure and the occurrence probability of the corresponding path. The bogie system as a case study was analyzed and the analysis results show that this method can effectively identify all possible propagation paths for any component failure, and sort all paths. Finally, it provides an important theoretical basis for system design improvement, fault prevention and maintenance.
Combined with the topological structure of bogie system and the effect of component failure mode, the holistic topological networked model, firstly, was constructed to describe the internal coupling relationship of complex electromechanical system based on network theory. On the basis of this networked model, failure pervasion intensity was determined to study failure propagation process of single node by functional-topological importance(FTI) and failure modes with combination of the grade diffusing process. Subsequently, fault propagation model for the whole system was established according to the improved polychromatic sets theory and failure pervasion intensity for single node. The model is suitable for analyzing all possible fault propagation paths for any component failure and the occurrence probability of the corresponding path. The bogie system as a case study was analyzed and the analysis results show that this method can effectively identify all possible propagation paths for any component failure, and sort all paths. Finally, it provides an important theoretical basis for system design improvement, fault prevention and maintenance.
引文
[1] MI J,LI Y F,YANG Y J,et al.Reliability Assessment of Complex Electromechanical Systems under Epistemic Uncertainty[J].Reliability Engineering & System Safety,2016,152:1-15.
[2] 姜洪权,王金宇,高建民,等.面向复杂系统故障溯源的SDG-FG模型建模方法[J].计算机集成制造系统,2015,21(3):749-757.JIANG Hongquan,WANG Jinyu,GAO Jianmin,et al.Modeling Method for SDG-FG Model Oriented to Fault Root Causes Tracing Analysis of Complex Electromechanical System[J].Computer Integrated Manufacturing Systems,2015,21(3):749-757.
[3] LIU P,YANG L,GAO Z,et al.Fault Tree Analysis Combined with Quantitative Analysis for High-speed Railway Accidents[J].Safety Science,2015,79:344-357.
[4] PURBA J H,TJAHYANI D T S,EKARIANSYAHA S,et al.Fuzzy Probability Based Fault Tree Analysis to Propagate and Quantify Epistemic Uncertainty[J].Annals of Nuclear Energy,2015,85:1189-1199.
[5] CHEN Z,WU X,QIN J.Risk Assessment of an Oxygen-enhanced Combustor Using a Structural Model Based on the FMEA and Fuzzy Fault Tree[J].Journal of Loss Prevention in the Process Industries,2014,32:349-357.
[6] WU J,YAN S,GAO R X.Modeling and Analysis of Failure Propagation of Mechanical System with Multi-operation States Using High-level Petri Net[J].Proceedings of the Institution of Mechanical Engineers,Part O:Journal of Risk and Reliability,2014,228(4):347-361.
[7] WU J,YAN S,GUY.Fault Severity Analysis of the Time-dependent Mechanical Systems by the Revised Time Petri Net[J].Proceedings of the Institution of Mechanical Engineers,Part Ⅰ:Journal of Systems and Control Engineering,2014,228(4):207-220.
[8] HU J,ZHANG L,CAI Z,et al.Fault Propagation Behavior Study and Root Cause Reasoning with Dynamic Bayesian Network Based Framework[J].Process Safety and Environmental Protection,2015,97:25-36.
[9] YANG F,XIAO D,SHAHS L.Signed Directed Graph-Based Hierarchical Modelling and Fault Propagation Analysis for Large-scale Systems[J].Control Theory & Applications,2013,7(4):537-550.
[10] LIU Y K,WU G H,XIE C L,et al.A fault Diagnosis Method Based on Signed Directed Graph and Matrix for Nuclear Power Plants[J].Nuclear Engineering and Design,2016,297:166-174.
[11] ZHOU Q,ZHAO H,ZHANG H,et al.An Improved Fault Propagation Analysis Method Based on Small-world Algorithm for Large Scale Electronic Systems[J].Telecommunication Computing Electronics and Control,2016,14(2S):152-161.
[12] LIU X,AN S.Failure Propagation Analysis of Aircraft Engine Systems Based on Complex Network[J].Procedia Engineering,2014,80:506-521.
[13] 李果,高建民,高智勇,等.基于小世界网络的复杂系统故障传播模型[J].西安交通大学报,2007,41(3):334-338.LI Guo,GAO Jiangmin,GAO Zhiyong,et al.Failure Propagation Model of Complex System Based on Small World Net[J].Journal of Xi’an Jiaotong University,2007,41(3):334-338.
[14] 李果,高建民,高智勇.基于小世界拓扑模型的复杂系统安全分析[J].机械工程学报,2008,44(5):86-91.LI Guo,GAO Jianmin,GAO Zhiyong.Safety Analysis of Complex System Based on Small World Topological Model[J].Chinese Journal of Mechanical Engineering,2008,44(5):86-91.
[15] ZHU X,KUO W.Importance Measures in Reliability and Mathematical Programming[J].Annals of Operations Research,2014,212(1):241-267.
[16] SI S,DUI H,ZHAO X,et al.Integrated Importance Measure of Component States Based on Loss of System Performance[J].IEEE Transactions on Reliability,2012,61(1):192-202.
[17] YBARRA M L,ESPELAGE D L,MITCHELLK J.Differentiating Youth Who are Bullied from other Victims of Peer-aggression:the Importance of Differential Power and Repetition[J].Journal of Adolescent Health,2014,55(2):293-300.
[18] SONG S,LU Z,LI W,et al.The Uncertainty Importance Measures of the Structural System in View of Mixed Uncertain Variables[J].Fuzzy Sets and Systems,2014,243:25-35.
[19] SAITO K,KIMURA M,OHARAK,et al.Super Mediator-a New Centrality Measure of Node Importance for Information Diffusion over Social Network[J].Information Sciences,2016,329:985-1000.
[20] 宗刚,张超,王华胜.基于复杂网络理论的高速列车牵引系统部件可靠性研究[J].中国铁道科学,2014,35(1):94-97.ZONG Gang,ZHANG Chao,WANG Huasheng.Reliability Study of the Components for the Traction System of High Speed Train Based on Complex Network Theory[J].China Railway Science,2014,35(1):94-97.
[21] 姜洪权,高建民,陈富民,等.基于网络特性的分布式复杂机电系统脆弱性分析[J].计算机集成制造系统,2009,15(4):791-796.JIANG Hongquan,GAO Jianmin,CHEN Fumin,et al.Vulnerability Analysis to Distributed and Complex Electromechanical System Based on Network Property[J].Computer Integrated Manufacturing Systems,2009,15(4):791-796.
[22] OUYANG M,ZHAO L,HONG L,et al.Comparisons of Complex Network Based Models and Real Train Flow Model to Analyze Chinese Railway Vulnerability[J].Reliability Engineering & System Safety,2014,123:38-46.
[23] 汪送,王瑛,冯建伟,等.基于约束熵的复杂系统重要节点崩溃控制研究[J].中国安全科学学报,2012,22(5):10-16.WANG Song,WANG Ying,FENG Jianwei,et al.Complex System Important Node Collapse Control Based on Constraint Entropy[J].China Safety Science Journal,2012,22(5):10-16.
[24] BRANKE J,CORRENTE S,GRECO S,et al.Using Choquet Integral as Preference Model in Interactive Evolutionary Multiobjective Optimization[J].European Journal of Operational Research,2016,250(3):884-901.
[25] YAGER R R.Modeling Multi-criteria Objective Functions Using Fuzzy Measures[J].Information Fusion,2016,29:105-111.
[26] PAVLOV V V.Polychromatic Sets and Graphs for CALS Technology[M].Moscow Russia:Stankin Press ,2002.
[27] GAO X,WANG X,LI Y,et al.Workflow Dynamic Change and Instance Migration Approach Based on Polychromatic Sets Theory[J].International Journal of Computer Integrated Manufacturing,2016,29(4):386-405.
[28] 汪惠芬,梁光夏,刘庭煜,等.基于改进模糊故障 Petri 网的复杂系统故障诊断与状态评价[J].计算机集成制造系统,2013,19(12):3049-3061.WANG Huifen,LIANG Guangxia,LIU Tingyu,et al.Machinery Failure Diagnosis and Condition Evaluation for Complex System Based on Improved Fuzzy Fault Petri Net[J].Computer Integrated Manufacturing Systems,2013,19(12):3049-3061.
[29] WANG R,GAO J,GAO Z,et al.Complex Network Theory-based Condition Recognition of Electromechanical System in Process Industry[J].Science China Technological Sciences,2016,59(4):604-617.
[30] XU K,GONG H.Emergency Logistics Support Capability Evaluation Model Based on Triangular Fuzzy Entropy and Choquet Integral[J].Journal of Industrial and Production Engineering,2016,33(7):435-442.
[2] 姜洪权,王金宇,高建民,等.面向复杂系统故障溯源的SDG-FG模型建模方法[J].计算机集成制造系统,2015,21(3):749-757.JIANG Hongquan,WANG Jinyu,GAO Jianmin,et al.Modeling Method for SDG-FG Model Oriented to Fault Root Causes Tracing Analysis of Complex Electromechanical System[J].Computer Integrated Manufacturing Systems,2015,21(3):749-757.
[3] LIU P,YANG L,GAO Z,et al.Fault Tree Analysis Combined with Quantitative Analysis for High-speed Railway Accidents[J].Safety Science,2015,79:344-357.
[4] PURBA J H,TJAHYANI D T S,EKARIANSYAHA S,et al.Fuzzy Probability Based Fault Tree Analysis to Propagate and Quantify Epistemic Uncertainty[J].Annals of Nuclear Energy,2015,85:1189-1199.
[5] CHEN Z,WU X,QIN J.Risk Assessment of an Oxygen-enhanced Combustor Using a Structural Model Based on the FMEA and Fuzzy Fault Tree[J].Journal of Loss Prevention in the Process Industries,2014,32:349-357.
[6] WU J,YAN S,GAO R X.Modeling and Analysis of Failure Propagation of Mechanical System with Multi-operation States Using High-level Petri Net[J].Proceedings of the Institution of Mechanical Engineers,Part O:Journal of Risk and Reliability,2014,228(4):347-361.
[7] WU J,YAN S,GUY.Fault Severity Analysis of the Time-dependent Mechanical Systems by the Revised Time Petri Net[J].Proceedings of the Institution of Mechanical Engineers,Part Ⅰ:Journal of Systems and Control Engineering,2014,228(4):207-220.
[8] HU J,ZHANG L,CAI Z,et al.Fault Propagation Behavior Study and Root Cause Reasoning with Dynamic Bayesian Network Based Framework[J].Process Safety and Environmental Protection,2015,97:25-36.
[9] YANG F,XIAO D,SHAHS L.Signed Directed Graph-Based Hierarchical Modelling and Fault Propagation Analysis for Large-scale Systems[J].Control Theory & Applications,2013,7(4):537-550.
[10] LIU Y K,WU G H,XIE C L,et al.A fault Diagnosis Method Based on Signed Directed Graph and Matrix for Nuclear Power Plants[J].Nuclear Engineering and Design,2016,297:166-174.
[11] ZHOU Q,ZHAO H,ZHANG H,et al.An Improved Fault Propagation Analysis Method Based on Small-world Algorithm for Large Scale Electronic Systems[J].Telecommunication Computing Electronics and Control,2016,14(2S):152-161.
[12] LIU X,AN S.Failure Propagation Analysis of Aircraft Engine Systems Based on Complex Network[J].Procedia Engineering,2014,80:506-521.
[13] 李果,高建民,高智勇,等.基于小世界网络的复杂系统故障传播模型[J].西安交通大学报,2007,41(3):334-338.LI Guo,GAO Jiangmin,GAO Zhiyong,et al.Failure Propagation Model of Complex System Based on Small World Net[J].Journal of Xi’an Jiaotong University,2007,41(3):334-338.
[14] 李果,高建民,高智勇.基于小世界拓扑模型的复杂系统安全分析[J].机械工程学报,2008,44(5):86-91.LI Guo,GAO Jianmin,GAO Zhiyong.Safety Analysis of Complex System Based on Small World Topological Model[J].Chinese Journal of Mechanical Engineering,2008,44(5):86-91.
[15] ZHU X,KUO W.Importance Measures in Reliability and Mathematical Programming[J].Annals of Operations Research,2014,212(1):241-267.
[16] SI S,DUI H,ZHAO X,et al.Integrated Importance Measure of Component States Based on Loss of System Performance[J].IEEE Transactions on Reliability,2012,61(1):192-202.
[17] YBARRA M L,ESPELAGE D L,MITCHELLK J.Differentiating Youth Who are Bullied from other Victims of Peer-aggression:the Importance of Differential Power and Repetition[J].Journal of Adolescent Health,2014,55(2):293-300.
[18] SONG S,LU Z,LI W,et al.The Uncertainty Importance Measures of the Structural System in View of Mixed Uncertain Variables[J].Fuzzy Sets and Systems,2014,243:25-35.
[19] SAITO K,KIMURA M,OHARAK,et al.Super Mediator-a New Centrality Measure of Node Importance for Information Diffusion over Social Network[J].Information Sciences,2016,329:985-1000.
[20] 宗刚,张超,王华胜.基于复杂网络理论的高速列车牵引系统部件可靠性研究[J].中国铁道科学,2014,35(1):94-97.ZONG Gang,ZHANG Chao,WANG Huasheng.Reliability Study of the Components for the Traction System of High Speed Train Based on Complex Network Theory[J].China Railway Science,2014,35(1):94-97.
[21] 姜洪权,高建民,陈富民,等.基于网络特性的分布式复杂机电系统脆弱性分析[J].计算机集成制造系统,2009,15(4):791-796.JIANG Hongquan,GAO Jianmin,CHEN Fumin,et al.Vulnerability Analysis to Distributed and Complex Electromechanical System Based on Network Property[J].Computer Integrated Manufacturing Systems,2009,15(4):791-796.
[22] OUYANG M,ZHAO L,HONG L,et al.Comparisons of Complex Network Based Models and Real Train Flow Model to Analyze Chinese Railway Vulnerability[J].Reliability Engineering & System Safety,2014,123:38-46.
[23] 汪送,王瑛,冯建伟,等.基于约束熵的复杂系统重要节点崩溃控制研究[J].中国安全科学学报,2012,22(5):10-16.WANG Song,WANG Ying,FENG Jianwei,et al.Complex System Important Node Collapse Control Based on Constraint Entropy[J].China Safety Science Journal,2012,22(5):10-16.
[24] BRANKE J,CORRENTE S,GRECO S,et al.Using Choquet Integral as Preference Model in Interactive Evolutionary Multiobjective Optimization[J].European Journal of Operational Research,2016,250(3):884-901.
[25] YAGER R R.Modeling Multi-criteria Objective Functions Using Fuzzy Measures[J].Information Fusion,2016,29:105-111.
[26] PAVLOV V V.Polychromatic Sets and Graphs for CALS Technology[M].Moscow Russia:Stankin Press ,2002.
[27] GAO X,WANG X,LI Y,et al.Workflow Dynamic Change and Instance Migration Approach Based on Polychromatic Sets Theory[J].International Journal of Computer Integrated Manufacturing,2016,29(4):386-405.
[28] 汪惠芬,梁光夏,刘庭煜,等.基于改进模糊故障 Petri 网的复杂系统故障诊断与状态评价[J].计算机集成制造系统,2013,19(12):3049-3061.WANG Huifen,LIANG Guangxia,LIU Tingyu,et al.Machinery Failure Diagnosis and Condition Evaluation for Complex System Based on Improved Fuzzy Fault Petri Net[J].Computer Integrated Manufacturing Systems,2013,19(12):3049-3061.
[29] WANG R,GAO J,GAO Z,et al.Complex Network Theory-based Condition Recognition of Electromechanical System in Process Industry[J].Science China Technological Sciences,2016,59(4):604-617.
[30] XU K,GONG H.Emergency Logistics Support Capability Evaluation Model Based on Triangular Fuzzy Entropy and Choquet Integral[J].Journal of Industrial and Production Engineering,2016,33(7):435-442.
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