Abstract
In order to solve the problem of fault coupling of intelligent systems, this paper focuses on the influence law of fault modeling and reliability, and fully investigates the applicability of the method. Aiming at the process fault caused by the self-protection strategy triggered by the intelligent system and the mutual influence of various structural faults of the system, a method of modeling the time series change process of the intelligent system is proposed based on the causal theory framework, and the causal relationship between various factors is described. Finally, the time of abnormal execution or interruption of the task of the intelligent system is calculated by Monte Carlo simulation to obtain the ability to meet the reliability requirements during the task operation of the complex intelligent system. And output the reliability of the intelligent system in the corresponding time.
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Li, J., Peng, W., Zeng, Z., Li, C., Wang, H. (2023). Intelligent System Reliability Modeling Methods. In: Tan, Y., Shi, Y., Luo, W. (eds) Advances in Swarm Intelligence. ICSI 2023. Lecture Notes in Computer Science, vol 13969. Springer, Cham. https://doi.org/10.1007/978-3-031-36625-3_25
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