Research on Four-Quadrant Input Over-current Fault Diagnosis of Electric Locomotive Based on Recursive 2-Classification Method

Jianhua WANG

doi:10.13890/j.issn.1000-128x.2019.02.016

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Research on Four-Quadrant Input Over-current Fault Diagnosis of Electric Locomotive Based on Recursive 2-Classification Method

更新时间：2021-12-13

- Research on Four-Quadrant Input Over-current Fault Diagnosis of Electric Locomotive Based on Recursive 2-Classification Method
- Electric Drive for Locomotives Issue 2, Pages: 74-79,138(2019)
- 作者机构：
  
  1.朔黄铁路发展有限责任公司　机辆分公司，河北　肃宁　062350
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128x.2019.02.016
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Jianhua WANG. Research on Four-Quadrant Input Over-current Fault Diagnosis of Electric Locomotive Based on Recursive 2-Classification Method. [J]. Electric Drive for Locomotives (2):74-79,138(2019)
DOI：

Jianhua WANG. Research on Four-Quadrant Input Over-current Fault Diagnosis of Electric Locomotive Based on Recursive 2-Classification Method. [J]. Electric Drive for Locomotives (2):74-79,138(2019) DOI： 10.13890/j.issn.1000-128x.2019.02.016.

摘要

四象限输入过流故障是HX,D,1型机车牵引变流器的主要故障之一，由于引发该故障的原因较多且故障样本分布不均，导致该故障难以诊断与定位，为此提出了一种基于递归二分类的故障诊断方法。基于K-Means与小波包分解对数据相关关键字段进行特征提取，用基于集成学习的梯度提升决策树（GBDT）构造可靠的分类模型以及用递归二分类法对多标签数据进行递归分类与诊断。对HX,D,1型机车四象限输入过流故障样本文件进行相关试验，结果表明该方法对于故障样本分类及故障诊断定位有显著提升效果。

Abstract

Four-quadrant over-current fault is one of the main faults of the HX,D,1 locomotive traction converter. Due to the class distribution of fault cause is unbalanced and there are a lot of over-current fault causes, four-quadromt over-current fault is difficult to distinguish and diagnose. A fault diagnosis method based on recursive 2-Classification was proposed. Based on K-Means and wavelet packet decomposition, feature extraction of data-related key fields was carried out. Reliable classification model was constructed by gradient boosting decision tree (GBDT) based on ensemble learning, and multi-label data was classified and diagnosed recursively by recursive 2-classification. Experiments on four-quadrant input over-current fault data files showed that this method could improve the classification and diagnosis of fault samples.

关键词

递归二分类电力机车四象限输入过流小波包分解梯度提升决策树机器学习故障诊断

Keywords

recursive 2-classificationelectric locomotivefour-quadrant input over-currentwavelet packet decompositiongradient boosting decision treemachine learningfault diagnosis

references

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