Design and Realization of Fault Diagnosis Software for HXD3C Electric Locomotive Power Supply

ZHANG Bao-kai

doi:10.13890/j.issn.1000-128x.2012.05.027

您当前的位置：

首页 >

文章列表页 >

Design and Realization of Fault Diagnosis Software for HXD3C Electric Locomotive Power Supply

更新时间：2021-12-13

- Design and Realization of Fault Diagnosis Software for HXD3C Electric Locomotive Power Supply
- Electric Drive for Locomotives Issue 5, Pages: 93-95(2012)
- 作者机构：
  
  1. 沈阳机务段
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128x.2012.05.027
  CLC：
扫描看全文
ZHANG Bao-kai. Design and Realization of Fault Diagnosis Software for HXD3C Electric Locomotive Power Supply. [J]. Electric Drive for Locomotives (5):93-95(2012)
DOI：

ZHANG Bao-kai. Design and Realization of Fault Diagnosis Software for HXD3C Electric Locomotive Power Supply. [J]. Electric Drive for Locomotives (5):93-95(2012) DOI： 10.13890/j.issn.1000-128x.2012.05.027.

摘要

介绍了HXD3C型列车供电故障诊断软件的整体结构、模块功能、特点、系统设计思想，分析系统包括数据的传输、存储、显示、故障诊断功能。实际应用表明，该软件功能强大，性能可靠，运行稳定，应用效果良好。

Abstract

Structure, performance, characteristic and design idea of fault-diagnosis software for HXD3C power supply were introduced. Functions of the software included data transmission, storage, display, and fault diagnosis. Actual operation results showed that the proposed software was powerful, stable and reliable with good application effect.

关键词

故障诊断列车供电装置软件设计HXD3C 型机车

Keywords

fault diagnosispower supply device for trainsoftware designHXD3C locomotive

references

Views

下载量

CSCD

CNKI被引量

Alert me when the article has been cited

提交

Tools

Publicity Resources

Bearing fault diagnosis algorithm based on maximum correlated kurtosis feature mode decomposition and compound Gini index

Overview on current research status and development trends of hydrogen-powered rail transit

Fault diagnosis technology for three-level inverter based on ICEEMDAN-FE and SVM

Feature extraction and fault diagnosis of gearbox based on ICEEMDAN, MPE, RF and SVM

Study on intelligent diagnosis and early warning system for traction drive and auxiliary power systems of urban rail transit trains

Related Author

No data

Related Institution

Tangshan Institute, Southwest Jiaotong University

School of Mechanical Engineering, Southwest Jiaotong University

Locomotive & Car Research Institute, China Academy of Railway Sciences Corporation Limited

School of Electrical Engineering, Southwest Jiaotong University

College of Electronic and Information Engineering, Tongji University

⁰