摘要
基于可拓云模型,研究面向系统层级的城市轨道交通供电系统健康状态评估。按照城市轨道交通供电设备所实现的功能划分为多个供电子系统,将各供电设备的健康状态划分为健康、亚健康、病态、严重病态4个等级。以接触网为例,提出4个评估指标,并得到各评估指标、各健康等级的数域区间,确定了供电智能运维系统相对健康度与标准可拓云的关联度。各评估指标的权重采用专家层次分析法和因子分析法相结合得出,并利用反馈神经网络算法调整。将动态组合权重与可拓云模型结合运用,可降低城市轨道交通供电系统健康状态等级划分时的不确定程度。
Based on extension cloud,research is carried out on system-level-oriented health status assessment of urban rail transit power supply system.Multiple power supply subsystems are divided for the different functionalities.The health status of each power supply equipment is assessed according to the 4 levels of healthy,sub-healthy,unhealthy,seriously unhealthy.Taking catenary as example,4 evaluation factors are proposed,and the interval of each evaluation index and health status is obtained,and relation between power supply intelligent operation and maintenance system relative healthy status and stan-dard extensive cloud is identified.The weight of each evaluation index adopts AHP and factor analysis for calculation and is adjusted by recurrent neural network algorithm.By combining dynamic combination weights and extension cloud,the degree of uncertainty in the classification of urban rail transit power supply system health status is lowered.
作者
张明睿
施伟峰
ZHANG Mingrui;SHI Weifeng(College of Information Science and Technology,Donghua University,201620,Shanghai,China;不详)
出处
《城市轨道交通研究》
北大核心
2022年第7期170-174,179,共6页
Urban Mass Transit
关键词
城市轨道交通
可拓云模型
供电设备
供电智能运维系统
健康状态评估
urban rail transit
extension cloud model
power supply equipment
power supply intelligent operation and maintenance system
health status evaluation
