## 1 Introduction  
With the increasing complexity of the product, the ship electronic information system, as a representative of complex system product mission requirements, are more diversified, and the fault tolerance mechanism is more complex, so the constraints on reliability and other general quality characteristics of the electronic information system are becoming increasingly significant, the reliability system and other general quality of the needs of the system are increasing, with higher requirements overall [1]. This brings increased requirements and greater challenges for the reliability design and analysis of reconfigurable ship electronic information systems. In order to guarantee the normal operation and smooth mission of the reconfigurable ship electronic information system, the dynamic reconfigurable modeling and accurate analysis of its mission reliability are crucial [2]. For different application scenarios, current reliability analysis methods include two categories: static modeling analysis methods and dynamic modeling analysis methods. Among them, static modeling methods include Reliability Block Diagram (RBD) [3], Fault Tree Analysis (FTA) [4], Event Tree Analysis (ETA) [5], Binary Decision Diagram (BDD) [6], and so on. Dynamic modeling methods include the Markov model [7] and the Petri net model [8]. [PERSON] et al. [9] proposed a novel C library, which provides a generic, efficient, and open-source solution for time-dependent reliability assessment of RBD. Toovercome the problems of unclear failure mechanisms, complex failure relationships, lack of failure data, and uncertainty of failure states, [PERSON] et al. (2019) proposed a reliability analysis methodology based on the T-S Fault Tree Analysis (T-S-FTA) and Hyper Ellipsoidal Bayesian Network (HE-BN) reliability analysis method. The feasibility and accuracy of the method were also verified through a case study. [PERSON] et al. (2019) developed a fuzzy probability-based event tree analysis (FPETA) to evaluate the core damage frequency (CDF) in probabilistic safety assessment (PSA) of nuclear power plants. The effectiveness of the proposed FPETA is demonstrated through an illustrative case study. [PERSON] et al. (2019) improved the Sequential Binary Decision Diagram (SBDD)-based approach by proposing a process for generating a BDD model that directly constructs a dynamic fault tree (DFT) under arbitrary tree structure conditions. [PERSON] et al. (2019) improved all the advantages of Markov modeling with the practical advantages of RBD to significantly reduce the computational effort required to obtain quantitative safety and reliability assessments to determine the safety integrity level for process industry applications. [PERSON] et al. (2019) used the idea of the Dynamic Flowcharting Method (DFM) to capture dynamic interactions by developing decision tables. The decision table is then converted into a Petri net model for further analysis. This study demonstrates the potential of a hybrid DFM-Petri net approach for dynamic reliability analysis of smart transmitters. Reliability allocation refers to the technique of assigning the reliability target of a system or product to various components or subsystems to ensure that the system or product as a whole meets the reliability requirements. The traditional reliability allocation method is based on experience and rules to allocate the reliability targets of a system to its components. [PERSON] et al. (2019) proposed a method based on a genetic algorithm to solve the reliability allocation of flexible transmission systems, which not only improves the results of transmission system reliability calculations but also improves the voltage distribution of the system and effectively reduces the power loss. [PERSON] et al. (2019) integrated meta-action theory, multicriteria decision-making (MCDM), and multi-objective optimization (MOO) strategies to solve the conservative allocation problem in the reliability allocation process. [PERSON] et al.