[1]马洁,王立德,岳 川,等.基于加速退化数据的动车组电连接器寿命预测研究[J].机车电传动,2019,(03):140.[doi:10.13890/j.issn.1000-128x.2019.03.031]
 MA Jie,WANG Lide,YUE Chuan,et al.EMUs Electrical Connector Life Prediction Based on Accelerated Degradation Data[J].Electric Drive for Locomotives,2019,(03):140.[doi:10.13890/j.issn.1000-128x.2019.03.031]
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基于加速退化数据的动车组电连接器寿命预测研究()
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机车电传动[ISSN:1000-128X/CN:43-1125/U]

卷:
期数:
2019年03期
页码:
140
栏目:
试验检测
出版日期:
2019-05-10

文章信息/Info

Title:
EMUs Electrical Connector Life Prediction Based on Accelerated Degradation Data
文章编号:
1000-128X(2019)03-0140-04
作者:
马洁王立德岳 川申 萍邱 霁
(北京交通大学电气工程学院,北京 100044)
Author(s):
MA Jie WANG Lide YUE Chuan SHEN Ping QIU Ji
( School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China )
关键词:
电连接器动车组退化量分布寿命预测拟合参数计算MATLAB
Keywords:
electrical connector EMUs degradation distribution life prediction curve fitting parameter calculation MATLAB
分类号:
U266;U268.3
DOI:
10.13890/j.issn.1000-128x.2019.03.031
文献标志码:
A
摘要:
电连接器对于动车组安全可靠稳定地运行至关重要。为提高电连接器产品寿命预测的效率与准确度,通过设计实施连接器加速试验,获取产品性能退化数据,采用寿命预测物理模型与数据处理算法,基于退化量分布的加速退化数据建模流程,实现动车组电连接器可靠度与寿命的评估。据此设计了基于退化数据的寿命预测软件,实现了退化数据预处理、数据分布拟合、模型参数计算、模型曲线绘制与寿命值的预测。
Abstract:
The electrical connectors of EMUs play a very important role in train operation. In order to improve the efficiency and accuracy of life prediction of electrial connector products, the connector accelerated test was designed and implemented, and the product performance degradation data was obtained. Using physical model of life prediction and data processing algorithm and accelerated degradation data modeling process based on degradation distribution, the reliability and life evaluation of EMUs electrical connectors were realized. The life prediction software was also designed and implemented, which realized degraded data preprocessing, data distribution fitting, model parameter calculation, model curve rendering and life value prediction.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介:马 洁(1993—),女,硕士研究生,研究方向为交通装备可靠性评估与寿命预测,列车通信网络。
更新日期/Last Update: 2019-05-10