KEYWORDS: Design and modelling, Vibration, Systems modeling, Signal detection, Modeling, Analytical research, Logic, Digital signal processing, Data modeling
Aiming at the problems of poor design data traceability, low model reusability, and lack of overall system design concept during the development of the traditional Electric Multiple Unit (EMU) bogie instability detection system, we are applying the Model-Based Systems Engineering (MBSE) to the EMU bogie design of the instability detection system. Based on the Arcadia modeling method, combined with the function definition analysis method, the structure of the EMU bogie instability detection system is designed: the instability detection system is established through four levels of operational analysis, system analysis, logical architecture analysis, and physical architecture analysis. The architecture model from "black box" to "white box"; the function is defined and analyzed through three links: identification function, expression function, and evaluation function. The research shows that in the process of designing the structure of the bogie instability detection system for the EMU, the model established by the model-based systems engineering method is traceable and reusable, and the overall design of the system can be carried out in the early stage of creation, and the EMU can be improved. The research and development of the bogie have a favorable driving effect.
To ensure the reliable operation and efficient maintenance of the air conditioning ventilation system of Fuxing EMU and reduce the cost of the whole life cycle, RAMS was designed for the ventilation system in the conceptual design stage. According to the structural composition and technical characteristics of the air conditioning ventilation system, the risk analysis model of the air conditioning ventilation system is established, and the design of the safety, reliability, maintainability, and availability of the air conditioning system is completed one by one. This design result can provide strong data support for the optimization design and maintenance plan revision of the air conditioning and ventilation system of the EMU.
To improve the reliability of the traction drive system of the CR200J EMU, its structural characteristics and logical relationship were analyzed, and a reliability model of the traction drive system was established. The degree of reliability is used as the evaluation index, and the reliability of each subsystem of the traction drive system is allocated. The allocation process is described in detail. The results show that in the early stage of EMU operation, it is of great significance to calculate the reliability of EMUs through the correct reliability model and reasonable reliability distribution method, which is of great importance for the use of EMUs and the formulation of maintenance plans.
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