[1]罗建涛.机车逆变过流故障诊断研究与应用[J].机车电传动,2018,(05):78-82.[doi:10.13890/j.issn.1000-128x.2018.05.018]
 LUO Jiantao.Research and Application of Fault Diagnosis for Locomotive Inverter Overcurrent[J].Electric Drive for Locomotives,2018,(05):78-82.[doi:10.13890/j.issn.1000-128x.2018.05.018]
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机车逆变过流故障诊断研究与应用()
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机车电传动[ISSN:1000-128X/CN:43-1125/U]

卷:
期数:
2018年05期
页码:
78-82
栏目:
研究开发
出版日期:
2018-09-10

文章信息/Info

Title:
Research and Application of Fault Diagnosis for Locomotive Inverter Overcurrent
文章编号:
1000-128X(2018)05-0078-05
作者:
罗建涛
(中国神华神朔铁路分公司, 陕西 神木 719316)
Author(s):
LUO Jiantao
( China Shenhua Shenshuo Railway Branch, Shenmu, Shaanxi 719316, China )
关键词:
逆变过流故障诊断专家经验数据挖掘特征统计分析
Keywords:
inverter overcurrent fault diagnosis expert experience data mining characteristic statistical analysis
分类号:
U264.3+72;U269.32+2
DOI:
10.13890/j.issn.1000-128x.2018.05.018
文献标志码:
A
摘要:
逆变过流是神华十二轴电力机车牵引系统的主要故障之一,已分析确定的故障原因有十几种,而在不同工况下不同故障原因导致故障特征量变化可达上百种,故障分析及处理有一定难度。根据专家经验提取故障诊断特征变量,应用数据挖掘方法及根据特征统计分析定位故障,可提高故障诊断准确性及鲁棒性。
Abstract:
Inverter overcurrent is one of the main faults in the traction system of Shenhua twelve-axle electric locomotive, which involves dozen fault causes that have been analyzed and determined, and in different working conditions, there are hundreds of fault characteristic change caused by different reasons, which lead to difficulties of analyzing and dealing with the faults. Fault feature variables were extracted according to expert experience, and fault was located based on the application of data mining and characteristics of statistics analysis method, which improved the accuracy and robustness of fault diagnosis.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介:罗建涛(1972-),男,硕士,高级工程师,主要研究方向为牵引供电及信息化。
更新日期/Last Update: 2018-09-10