摘要
随着中国轨道交通车辆陆续进入高级修阶段,IGBT器件寿命预测技术成为行业关注的热点,科学的寿命评估方法是实现IGBT变流器全生命周期管理的基础。文章针对轨道交通的应用,介绍了IGBT器件失效机理、寿命预测模型及计算流程;通过概述国内外相关研究现状,归纳了目前IGBT器件寿命预测面临的难题,分析了通过采用智能化驱动、大数据分析及人工智能、状态检测等技术来提高IGBT器件寿命预测的准确性。
Rail transport IGBT module lifetime prediction technology has become research focuses due to China’s rail transit vehicles entering the stage of overhaul,thus scientific module lifetime prediction method is the key to realize the IGBT converter life cycle management.Based on rail transit applications,the failure mechanism,lifetime prediction model and process of IGBT module were introduced,and the challenges by collect relevant research results both at home and abroad were summarized,then it was proposed that IGBT intelligent drive,big data analysis and artificial intelligence,condition monitor and other technologies could improve the accuracy of IGBT module lifetime prediction.
作者
王彬
曹琳
WANG Bin;CAO Lin(Research Institute,CRRC Yongji Electric Co.,Ltd.,Yongji,Shanxi 044502,China)
出处
《机车电传动》
北大核心
2020年第1期9-12,共4页
Electric Drive for Locomotives
基金
国家重点研发计划项目(2017YFB1200902,2018YFB1201802-3)。
关键词
轨道交通
IGBT器件
寿命预测
仿真
railway transit
IGBT module
lifetime prediction
simulation