铁道科学与工程学报2017，Vol.14Issue(10)：2065-2071,7.
高铁牵引供电系统故障的Logistic关联分析
Logistic correlation analysis of high speed railway traction power supply system fault
摘要
Abstract
In order to minimize the number of high-speed railway traction power supply system fault times and to reduce the severity of the fault, this paper used the traction power supply system fault severity as a dependent variable. The candidate variables were formulated from traction power internal structure and external environment. The Backward Stepwise Selection was adapted to make sure the relativity between dependent variable and candidate variables. By using the cumulative, the association model between high-speed rail traction power fault serious degree and effect factors was set up. The model was then tested in three aspects of the proportion test, goodness of fit test and prediction accuracy test. The analysis results from a power supply system power supply failure statistics recent years show that: service life of system, maintenance frequency, lightning strikes, and wind speed have significant relationship to power supply system fault serious degree. The results can provide basic measures to minimize traction power supply system fault times and reduce the damage of fault.关键词
牵引供电系统/故障/Logistic模型/关联分析/后向逐步选择法Key words
traction power supply system/fault/Logistic model/association analysis/backward stepwise selection分类
信息技术与安全科学引用本文复制引用
程宏波,李新原,王勋,辛建波..高铁牵引供电系统故障的Logistic关联分析[J].铁道科学与工程学报,2017,14(10):2065-2071,7.基金项目
江西省重点研发计划项目(20161BBH80033) （20161BBH80033）
江西省自然科学基金资助项目(20143ACB21019) （20143ACB21019）
江西省博士后科研择优资助项目(2016KY36) （2016KY36）
