Analysis method of influencing factors of modern tram operation energy consumption

被引：0

作者：

Chen Lin ^{[1
]}

Wang Dong-ping ^{[1
]}

机构：

[1] China Commun Tunnel Bur Electrificat Engn Co Ltd, Beijing, Peoples R China

来源：

2019 4TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2019) | 2019年

关键词：

tramcar energy consumption; control chart; grey correlation analysis; data mining; energy consumption analysis;

D O I：

10.1109/ICMCCE48743.2019.00061

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In view of the traditional tram energy consumption analysis method be lack of judge and analysis of abnormal data as well as is difficult to effectively discover the characteristics of energy consumption data and the potential relationship between data, an integration method of tramcar energy consumption analysis with control charts and grey correlation analysis is proposed. By using the control chart, the fluctuation of energy consumption data is analyzed, and the influence degree of each factor on energy consumption data is analyzed by grey relational analysis. The simulation experiment is carried out by using the energy consumption data of Guangzhou tram cars. The result shows that the tram energy consumption analysis method proposed not only can analyze the characteristics of all energy consumption data and mine potential relations among data, but also can monitor the fluctuation of energy consumption data and identify the abnormal energy consumption data as well as related factors that affect energy consumption.providing auxiliary decision-making for energy saving of tram system, which can provide some reference for the analysis of the energy consumption data of the running tramcar.

引用

页码：236 / 243

页数：8

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