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基于TS-DBN的地铁牵引系统可靠性分析

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论文提出一种结合连续时间T-S动态故障树和贝叶斯网络(TS-DBN)的可靠性评估方法来模拟实际运营过程中牵引系统的动静态失效行为。首先,构建基于牵引系统单元结构的故障树模型;然后,通过应用T-S动态门的时序规则,给出T-S门的逻辑定义,进而计算子节点后验概率及重要度参数;将敏感节点进行排序,建立系统连续时间状态下的稳定度函数数学模型。该方法能够直观地反映牵引系统结构单元的敏感薄弱环节,可以为后续维修策略优化提供理论参考。
Reliability Analysis of Subway Traction System Based on TS-DBN
In this paper,a reliability evaluation method combining continuous-time T-S dynamic fault tree and Bayesian net-work is proposed to simulate the dynamic and static failure behavior of the traction system during actual operation.Firstly,a fault tree model based on the element structure of the traction system is constructed.Then,by applying the timing rules of the T-S dynam-ic gate,the logical definition of the T-S gate is given,and then the posterior probability and importance parameters of the child nodes are calculated.The sensitive nodes are sorted to establish a mathematical model of the stability function in the continuous time state of the system.This method can intuitively reflect the sensitive and weak links of the structural units of the traction system,and can provide a theoretical reference for the optimization of subsequent maintenance strategies.

rail transittraction systemT-S dynamic gateBayesian networkreliability analysis

席欢、钟倩文、柴晓冬、郑树彬、文静

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上海工程技术大学城市轨道交通学院 上海 201620

轨道交通 牵引系统 T-S动态门 贝叶斯网络 可靠性分析

国家自然科学基金项目国家自然科学基金项目上海申通地铁集团资助项目

5190711751975347JS-KY20R013-3

2024

计算机与数字工程
中国船舶重工集团公司第七0九研究所

计算机与数字工程

CSTPCD
影响因子:0.355
ISSN:1672-9722
年,卷(期):2024.52(5)
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