[1]王建华.基于递归二分类法的电力机车四象限输入过流故障诊断研究[J].机车电传动,2019,(02):74-79.[doi:10.13890/j.issn.1000-128x.2019.02.016]
 WANG Jianhua.Research on Four-Quadrant Input Over-current Fault Diagnosis of Electric Locomotive Based on Recursive 2-Classification Method[J].Electric Drive for Locomotives,2019,(02):74-79.[doi:10.13890/j.issn.1000-128x.2019.02.016]
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基于递归二分类法的电力机车四象限输入过流故障诊断研究()
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机车电传动[ISSN:1000-128X/CN:43-1125/U]

卷:
期数:
2019年02期
页码:
74-79
栏目:
研究开发
出版日期:
2019-03-10

文章信息/Info

Title:
Research on Four-Quadrant Input Over-current Fault Diagnosis of Electric Locomotive Based on Recursive 2-Classification Method
文章编号:
1000-128X(2019)02-0074-06
作者:
王建华
(朔黄铁路发展有限责任公司 机辆分公司,河北 肃宁 062350)
Author(s):
WANG Jianhua
( Locomotive Branch, Shuohuang Railway Development Co., Ltd., Suning, Hebei 062350, China )
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-classification electric locomotive four-quadrant input over-current wavelet packet decomposition gradient boosting decision tree machine learning fault diagnosis
分类号:
U264.3+7;U269.32+2
DOI:
10.13890/j.issn.1000-128x.2019.02.016
文献标志码:
A
摘要:
四象限输入过流故障是HXD1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HXD1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 HXD1 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.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介:王建华(1982—),男,工程师,长期从事电力机车运用检修和技术管理工作。
更新日期/Last Update: 2019-03-10