In consideration of the complex system structure and its functional behavior, a method of analyzing the system failure propagation process based on multiple potential field model is proposed, for the sake of seeking out all the possible failure propagation paths with their lengths if faults occur. Firstly, the structure and functional behavior of the complex system is introduced based on the complex network model. Secondly, system failure properties are analyzed and the whole process of system propagation is simulated based on the proposed failure propagation model. Finally, a case study based on railway train bogie system has been implemented to demonstrate the proposed method, which shows that the proposed model and method work well on the complex system.
Reliability analysis Failure propagation Complex network Bogie system Railway train bogie system
This is a preview of subscription content, log in to check access.
The authors gratefully acknowledge the financial supports for this research from the State Key Program of National Natural Science of China (61833002).
Kou L, Qin Y, Jia L et al (2018) Multistate reliability evaluation of bogie on high speed railway vehicle based on the network flow theory. Int J Softw Eng Knowl Eng 28(4):431–451CrossRefGoogle Scholar
Buldyrev SV, Parshani R, Paul G et al (2010) Catastrophic cascade of failures in interdependent networks. Nature 464(7291):1025–1028CrossRefGoogle Scholar
Noh KW, Jun HB, Lee JH et al (2011) Module-based Failure Propagation (MFP) model for FMEA. Int J Adv Manuf Technol 55(5–8):581–600CrossRefGoogle Scholar
Jafarian E, Rezvani MA (2012) Application of fuzzy fault tree analysis for evaluation of railway safety risks: An evaluation of root causes for passenger train derailment. Proc Inst Mech Eng Part F J Rail Rapid Transit 226(1):14–25CrossRefGoogle Scholar
Zheng S, Qin Y, Wang L et al (2017) Bayesian network-based reliability analysis of high-speed train bogie system. In: International conference on electrical and information technologies for rail transportation. Springer, SingaporeGoogle Scholar
Liang Z, Parlikad AK, Srinivasan R et al (2017) On fault propagation in deterioration of multi-component systems. Reliab Eng Syst Saf 162:72–80CrossRefGoogle Scholar
Wang Z, Yao H, Yang G et al (2015) Failure risk propagation and protection schemes in coupled systems. Chaos Solitons Fractals Interdisc J Nonlinear Sci Nonequilib Complex Phenom 80:62–75MathSciNetzbMATHGoogle Scholar
Chen Y, Jin Y, Liang X et al (2018) Propagation path and failure behavior analysis of cracked gears under different initial angles. Mech Syst Signal Process 110:90–109CrossRefGoogle Scholar
Wang Y, Li M, Shi H (2018) A method of searching fault propagation paths in mechatronic systems based on MPPS model. J Central South Univ 25:2199–2218CrossRefGoogle Scholar
Wei X, Gao S, Huang T et al (2018) Complex network based cascading faults graph for the analysis of transmission network vulnerability. IEEE Trans Ind Inform 1Google Scholar
Liu X, An S (2014) Failure propagation analysis of aircraft engine systems based on complex network. Procedia Eng 80:506–521CrossRefGoogle Scholar
Pan Y, Yan Z (2017) The impact of multiple information on coupled awareness-epidemic dynamics in multiplex networks. Phys A Stat Mech Appl 491:45–54MathSciNetCrossRefGoogle Scholar
Pan Q, Dias D (2017) Sliced inverse regression-based sparse polynomial chaos expansions for reliability analysis in high dimensions. Reliab Eng Syst Saf 167:484–493CrossRefGoogle Scholar
Asuka N, Makoto O, Hironori Y et al (2018) The role of transforming growth factor β in cell-to-cell contact-mediated Epstein-Barr virus transmission. Front Microbiol 9:984–1005CrossRefGoogle Scholar
Fu Y (2014) New Newton Mechanics taking law of conservation of energy as unique source law. Front SciGoogle Scholar
Zborovský I (2018) A conservation law, entropy principle and quantization of fractal dimensions in hadron interactions. Int J Mod Phys A 33(10):1850057MathSciNetCrossRefGoogle Scholar
Byrne S, Naeem W, Ferguson S (2015) Improved APF strategies for dual-arm local motion planning. Trans Inst Meas Control 37(1):73–90CrossRefGoogle Scholar
Fu Y, Qin Y, Zheng S et al (2017) Operation safety assessment of high-speed train with fuzzy group decision making method and empirical research. In: International conference on cloud computing & internet of things. IEEEGoogle Scholar