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Importance analysis of underframe connection system for the pantograph lower arm rod

  • S.I.: Reliability Modeling with Applications Based on Big Data
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Abstract

This paper is aiming at the high severity and failure rates of the parts connected by the lower arm rod and the underframe of the electric multiple unit pantograph, and a variety of state problems presented in the process of performance degradation and repair. A method of importance analysis by using multi-valued decision diagrams and logical partial derivative is proposed. Firstly, the multi-valued decision diagrams are introduced into the importance analysis of the underframe connection system for the pantograph lower arm rod. Secondly, the mathematical model for every importance is established by utilizing the principle of logic differential theory, and component importance, as well as the corresponding state, is analyzed. The importance of Birnbaum, structure, fussell–vesely, reliability results and reliability decrease value are calculated for each component of underframe connection system for the pantograph lower arm rod. The influence of component state on system state is determined in the third part. This method serves as a reference for the reliability analysis, safety assessment and maintenance optimization of underframe connection system for the pantograph lower arm rod.

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Abbreviations

MDD:

Multi-valued Decision Diagram

DPLD:

Direct Partiallogic Derivatives

RAW:

Reliability Achievement Worth

References

  • Chen, D. (2012). Reliability analysis of multi-state system based on fuzzy bayesian networks and application in hydraulic system. Journal of Mechanical Engineering, 48(16), 175–186.

    Article  Google Scholar 

  • Chen, B. Z., Li, Y. H., Dong, S. D., & Wang, J. (2016). Multi-objective reliability design optimization of electric multiple unit pantograph geometric parameters. Advances in Mechanical Engineering, 8(10), 1–10.

    Google Scholar 

  • Cui, Y. Q., Shi, J. Y., & Wang, Z. L. (2016). Analog circuit fault diagnosis based on quantum clustering based multi-valued quantum fuzzification decision tree (QC-MQFDT). Measurement, 93, 421–434.

    Article  Google Scholar 

  • Gu, Y. K., & Li, J. (2014). Importance analysis of a multi-state system based on direct partial logic derivatives and multi-valued decision diagrams. Journal of Donghua University (English Edition), 31(6), 789–792.

    Google Scholar 

  • Janic, M., & Mod, J. (2016). A multidimensional examination of performances of HSR (High-Speed Rail) systems. Journal of Modern Transportation, 24(1), 1–21.

    Article  Google Scholar 

  • Jin, H. L., Park, T. W., & Oh, H. K. (2015). Analysis of dynamic interaction between catenary and pantograph with experimental verification and performance evaluation in new high-speed line. Vehicle System Dynamics, 53(8), 1117–1134.

    Article  Google Scholar 

  • Karakose, E., Gencoglu, M. T., Karakose, M., Aydin, I., & Akin, E. (2016). A new experimental approach using image processing based tracking for an efficient fault diagnosis in pantograph-catenary systems. IEEE Transactions on Industrial Informatics, 13(2), 635–643.

    Article  Google Scholar 

  • Li, Y., Cui, L. R., & Liu, C. (2017). Modeling and analysis for multi-state systems with discrete-time Markov regime-switching. Reliability Engineering & System Safety, 166, 41–49.

    Article  Google Scholar 

  • Li, Y. H., Hu, M. G., & Wang, F. (2016). Fatigue life analysis based on six sigma robust optimization for pantograph collector head support. Advances in Mechanical Engineering, 8(10), 1–9.

    Google Scholar 

  • Li, Y. F., Mi, J., Liu, Y., Yang, Y. J., & Huang, H. Z. (2015). Dynamic fault tree analysis based on continuous-time Bayesian networks under fuzzy numbers. Journal of Risk & Reliability, 229(6), 530–541.

    Google Scholar 

  • Ma, G. L., Zhang, W. H., & Mei, G. M. (2010). Analysis of whole structure characteristics of high-speed pantograph. Journal of Mechnical Strength, 32, 158–164.

    Google Scholar 

  • Mi, J., Li, Y. F., Wang, P., & Huang, H. Z. (2018). Reliability analysis of complex multi-state system with common cause failure based on evidential networks. Reliability Engineering & System Safety, 174, 71–81.

    Article  Google Scholar 

  • Mi, J., Li, Y. F., Yang, Y. J., Peng, W., & Huang, H. Z. (2016). Reliability assessment of complex electromechanical systems under epistemic uncertainty. Reliability Engineering & System Safety, 152, 1–15.

    Article  Google Scholar 

  • Mo, Y., Xing, L., & Amari, S. V. (2014). A multiple-valued decision diagram based method for efficient reliability analysis of non-repairable phased-mission systems. IEEE Transactions on Reliability, 63(1), 320–330.

    Article  Google Scholar 

  • Peng, H. G., Zhang, H. Y., & Wang, J. Q. (2018). Probability multi-valued neutrosophic sets and its application in multi-criteria group decision-making problems. Neural Computing and Applications, 30(2), 563–583.

    Article  Google Scholar 

  • Song, Y., Ouyang, H. J., Liu, Z. G., et al. (2017). Active control of contact force for high-speed railway pantograph-catenary based on multi-body pantograph model. Mechanism and Machine Theory, 115, 35–59.

    Article  Google Scholar 

  • Wu, Z. L., Yao, Y. B., & Wang, D. (2016). Analysis and optimization of reliability of multi-state marine electrical parallel-redundant system. Ship Engineering, 38(2), 219–222.

    Google Scholar 

  • Xiahou, T., Liu, Y., & Jiang, T. (2018). Extended composite importance measures for multi-state systems with epistemic uncertainty of state assignment. Mechanical Systems and Signal Processing, 109, 305–329.

    Article  Google Scholar 

  • Zhai, Q., Xing, L., & Peng, R. (2015). Multi-valued decision diagram-based reliability analysis of $k$ -out-of-$n$, cold standby systems subject to scheduled backups. IEEE Transactions on Reliability, 64(4), 1310–1324.

    Article  Google Scholar 

  • Zhang, Q. H., Xie, Q., & Wang, G. Y. (2016). A survey on rough set theory and its applications. CAAI Transactions on Intelligence Technology, 1(4), 323–333.

    Article  Google Scholar 

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Acknowledgements

The authors would like to acknowledge the partial supports provided by the program of Educational Commission of Liaoning Province under contract number JDL2016001, the program of National Natural Science Foundation under contract number 51875073, the program of Natural Science Foundation of Liaoning Province under contract number 20170540112.

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Correspondence to Yong-Hua Li.

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Li, YH., Zhao, FY., Gao, YH. et al. Importance analysis of underframe connection system for the pantograph lower arm rod. Ann Oper Res 311, 211–223 (2022). https://doi.org/10.1007/s10479-019-03237-8

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  • DOI: https://doi.org/10.1007/s10479-019-03237-8

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