High-speed train system reliability analysis method based on potential energy field and network efficiency
A high-speed train and potential energy field technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as unfavorable daily maintenance work, complex network relations, and separation
Active Publication Date: 2019-10-08
BEIJING JIAOTONG UNIV +1
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However, the key points of these network-based reliability analysis methods focus on the final results of system reliability analysis, while ignoring the dynamic process of reliability analysis, presenting static analysis results, which is not conducive to providing information for subsequent daily maintenance work. Guiding ideas
[0005] The focus of high-speed train system reliability analysis should be based on system failure, and system failure is caused by the failure of one component of the system, which leads to the decline or failure of the associated component function, and then separates from the entire system physically or informationally, reducing the entire system. system performance
The fault coupling between these components will form a complex network relationship, bringing unexpected "domino" operational risks to the system
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[0046] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.
[0047] The implementation of the method in this embodiment specifically includes the following steps (the method flow is as follows: figure 1 shown):
[0048](1) Analyze and study the characteristics of the physical topology of the high-speed train system, and establish a complex network model of the high-speed train system with the components of the high-speed train as nodes and the coupling relationship between components as the connection edges. By analyzing and studying the topological structure characteristics and fault propagation characteristics of a certain type of high-speed...
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The invention provides a high-speed train system reliability analysis method based on a potential energy field and network efficiency. The high-speed train system reliability analysis method comprisesthe following specific steps: firstly, analyzing the topological structure characteristics of a high-speed train system, and building a high-speed train system network model based on a complex network theory; secondly, based on a high-speed train complex network model and a potential energy field theory, analyzing the whole dynamic process of high-speed train system fault propagation to obtain apropagation failure component of each step of the system fault; and finally, on the basis of fault propagation of the high-speed train system, dynamically analyzing the reliability of the high-speed train system based on network efficiency related indexes. The high-speed train system reliability analysis method analyzes reliability of the high-speed train system by combining relevant indexes suchas train system fault propagation and system network efficiency, can dynamically and gradually analyze the change rule of the reliability of the high-speed train system, and can provide theoretical support for operation maintenance personnel to focus on maintenance tasks.
Description
technical field [0001] The invention relates to the field of reliability analysis of high-speed train systems, in particular to a method for reliability analysis of high-speed train systems based on potential energy field and network efficiency. Background technique [0002] The high-speed railway system plays an irreplaceable overall supporting role in my country's economic and social development and the promotion of the status of the international community. By the end of 2017, my country's high-speed railway operation mileage reached 25,000 kilometers, forming the world's largest high-speed railway network. There are 2,522 groups in operation, and 1.713 billion passengers are transported annually. During the 2017 summer travel season, 4,761 trains were operated on average every day; the Chinese standard EMU "Fuxing" achieved commercial operation at a speed of 350 kilometers per hour, setting a new record in the construction and operation of high-speed rail in the world. ben...
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IPC IPC(8): G06F17/50
CPCG06F30/18G06F30/13
Inventor 秦勇付勇寇淋淋叶萌程晓卿贾利民夏建军王豫泽李想刘典赵晓春梁立鹏
Owner BEIJING JIAOTONG UNIV