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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© 2024 Chinese Institute of Command and Control
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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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DOI: https://doi.org/10.1007/978-981-99-9021-4_52
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Online ISBN: 978-981-99-9021-4
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