摘要
UPS(不间断电源)设备作为保障城市轨道交通供电系统正常运行的重要组成部分,其状态性能关系到供电系统的正常运行。以上海轨道交通供电系统UPS设备所积累的历史数据为基础,设计了UPS设备状态评估系统,并采用BP神经网络智能算法,对评估系统规则评分优化以及故障预测进行了研究。该系统具备了精准评估UPS设备健康状态、预判UPS装置隐患的功能。
As an important component to ensure the normal operation of urban rail transit power supply system,UPS(uninterruptable power system)equipment affects the normal operation of the power supply system with working status and performance.Taking the accumulated historical data of Shanghai rail transit power supply system UPS equipment as basis,a status evaluation system of the equipment is designed.By adopting the BP neural network intelligent algorithm,the evaluation system rule scoring optimization and fault prediction are studied.The system has the function of accurately assessing the health status and predicting the hidden dangers of UPS equipment.
作者
谷梦勖
万衡
黄怡婷
王枫
唐许良
GU Mengxu;WAN Heng;HUANG Yiting;WANG Feng;TANG Xuliang(不详;School of Railway Transportation,Shanghai Institute of Technology,201418,Shanghai,China)
出处
《城市轨道交通研究》
北大核心
2022年第10期187-191,共5页
Urban Mass Transit
