Complex Electronic System Failure Diagnosis Method Based Functional Correlation Model

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Proceedings of 2023 11th China Conference on Command and Control (C2 2023)

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Abstract

The existing modern emergency command systems generally have the problem of insufficient testability design, which resulted in difficult fault isolation, long troubleshooting times, and low operational readiness. Good testability design can ensure that the equipment has a good foundation of fault diagnosis and fast handling performance. Different from ordinary simple equipment, modern emergency command system has the characteristic of typical dynamic and multi-mode. How to build the testability model and design the testability analysis is one of the key technologies. In view of the dynamic change of the distributed network structure and the complex operation mode of the modern emergency response system, failure modes and their effects were analyzed. The multi-signal flow graph modeling method for multi-mode system was studied. The intra-node correlation, inter-node correlation and pattern change were modeled and characterized. On this basis, multi-level testability analysis was carried out, and a hierarchical hybrid modeling method combining multi-signal flow graph and simulation was proposed. The whole modeling process was divided into two levels: Test Point screening and test point feature mining. The hierarchical hybrid testability model method retained the advantages of simulation-based modeling in feature mining and quantitative analysis. Combining the simplicity of the output form and the test point selection of the digraph class modeling method, this method can improve the precision testability modeling efficiency.

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References

  1. Qi, Z., Zhao, Y., Xu, Y.: Requirements and applications of naval battle field environment for Aircraft Carrier Formation Command Information System. Command Inf. Syst. Technol. 12(02), 32–37 (2021)

    Google Scholar 

  2. Yuan, R.: A study on the release and implementation of strategic planning in the field of military electronic information in the United States. J. Chinese Acad. Electron. Sci. 16(04), 329–332 (2021)

    Google Scholar 

  3. Liu, Y., Zhu, L.: A new intrusion detection and alarm correlation technology based on neural network. EURASIP J. Wirel. Commun. Netw. 2019(1), 1–10 (2019)

    Article  Google Scholar 

  4. Ye, H., Luo, X.: Cascading failure analysis on shanghai metro networks: an improved coupled map lattices model based on graph attention networks. Int. J. Environ. Res. Public Health 19(1), 204 (2021)

    Article  Google Scholar 

  5. Xu, H., et al.: Identifying influential SLD authoritative name servers on the Internet. Front. Phys. 2021

    Google Scholar 

  6. Wang, Z., Zhou, X.: Construction idea of new mobile command and control system equipment. Command Inf. Syst. Technol. 11, 89–94 (2020)

    Google Scholar 

  7. Lan, Y., Mao, S., Wang, H.: Theory and Optimization of C'ISR System Structure (2015)

    Google Scholar 

  8. Mobed, P., Maddala, J., Pednekar, P., et al.: Optimal sensor placement for fault diagnosis using magnitude ratio. Ind. Eng. Chem. Res. 54(38), 9369–9381 (2015)

    Article  Google Scholar 

  9. Liu, Y.K., Su, S., Yang, Y., et al.: Fault diagnosis approach for wind turbine based on signed directed graph. J. Mech. Strength 35(5), 583–588 (2013)

    Google Scholar 

  10. Xu, X.H.: Research on the fault diagnosis of aero-engine based on the AHP-SDG method. Nan**g University of Aeronautics and Astronautics, Nan**g (2010)

    Google Scholar 

  11. Li, G., Gao, J., Chen, F.: Formal support for failure knowledge modeling and diagnostic reasoning using polychromatic sets. In: Proceedings of the 5th IEEE international conference on industrial informatics, vol. 2, pp. 645–650. IEEE Press, Piscataway, NJ, USA (2007)

    Google Scholar 

  12. Huang, K., Li, H.: Architecture of data link integration application. Command Inf. Syst. Technol. 2(5), 15–18 (2011)

    Google Scholar 

  13. Yuan, L.: Information extraction of strategic intelligence research. Command Inf. Syst. Technol. 3(1), 49–52 (2012)

    Google Scholar 

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Correspondence to Fang Bai .

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Bai, F., Zhou, X., Huang, L., Yang, Y., Xu, Y. (2024). Complex Electronic System Failure Diagnosis Method Based Functional Correlation Model. In: Chinese Institute of Command and Control (eds) Proceedings of 2023 11th China Conference on Command and Control. C2 2023. Lecture Notes in Electrical Engineering, vol 1124. Springer, Singapore. https://doi.org/10.1007/978-981-99-9021-4_52

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