EMUs Electrical Connector Life Prediction Based on Accelerated Degradation Data

Jie MA; Lide WANG; Chuan YUE; Ping SHEN; Ji QIU

doi:10.13890/j.issn.1000-128x.2019.03.031

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EMUs Electrical Connector Life Prediction Based on Accelerated Degradation Data

更新时间：2021-12-13

- EMUs Electrical Connector Life Prediction Based on Accelerated Degradation Data
- Electric Drive for Locomotives Issue 3, Pages: 140-143,147(2019)
- 作者机构：
  
  1.北京交通大学　电气工程学院，北京　100044
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128x.2019.03.031
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Jie MA, Lide WANG, Chuan YUE, et al. EMUs Electrical Connector Life Prediction Based on Accelerated Degradation Data. [J]. Electric Drive for Locomotives (3):140-143,147(2019)
DOI：

Jie MA, Lide WANG, Chuan YUE, et al. EMUs Electrical Connector Life Prediction Based on Accelerated Degradation Data. [J]. Electric Drive for Locomotives (3):140-143,147(2019) DOI： 10.13890/j.issn.1000-128x.2019.03.031.

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.

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 connectorEMUsdegradation distributionlife predictioncurve fittingparameter calculationMATLAB

references

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