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加拿大阿尔伯塔大学博士后陈宏田：高速列车故障诊断
中国自动化学会 2022-01-27 21:52
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CAA
智慧起航，共创未来
2022年中国自动化学会第一期“我和优博有个约会”活动将于1月28日（明日）10:00线上开讲，本期活动邀请到加拿大阿尔伯塔大学博士后陈宏田，为大家带来报告：Data-driven Fault Diagnosis for Traction Systems in High-speed Trains: A Survey, Challenges, and Perspectives，并分享自己的学术历程以及生活感悟。
本次活动届时将在视频号与钉钉同步直播，点击预约即可到时观看。精彩内容，不要错过！
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陈宏田
加拿大阿尔伯塔大学博士后
报告题目：
Data-driven Fault Diagnosis for Traction Systems in High-speed Trains: A Survey, Challenges, and Perspectives
报告摘要：
Recently, to ensure the reliability and safety of high-speed trains, detection and diagnosis of faults (FDD) in traction systems have become an active issue in the transportation area over the past two decades. Among these FDD methods, data-driven designs, that can be directly implemented without a logical or mathematical description of traction systems, have been receiving special attention because of their overwhelming advantages. Based on the existing data-driven FDD methods for traction systems in high-speed trains, the first objective of this paper is to systematically recall and categorize most of the mainstream methods. By analyzing the characteristic of observations from sensors equipped in traction systems, great challenges which may prevent successful FDD implementations on practical high-speed trains are then summarized in detail. Benefiting from theoretical developments of data-driven FDD strategies, instructive perspectives on this topic are further elaborately conceived by the integration of model-based FDD issues, system identification techniques, and new machine learning tools, which provide several promising solutions to FDD strategies for traction systems in high-speed trains.
嘉宾简介：
陈宏田，现为加拿大阿尔伯塔大学博士后，IEEE会员,中国自动化学会会员，江苏青工委会员，中国人工智能学会会员及其智能检测与运动控制委员会委员。本硕毕业于南师大，博士毕业于南京航空航天大学。2018年在德国先进控制与复杂系统研究所做访问学者。主要研究方向为数据驱动技术、人工智能、量子计算、分布式系统等及其在高速列车牵引系统的故障诊断应用。目前为止，发表英文专著1部，国际英文论文40余篇（IEEE会刊18篇）、授权与受理国家专利8项。主持、参与国家级和省部级项目6项。获得中国自动化学会优秀博士论文奖、江苏省优秀博士论文奖、工信部创新特等奖（全校第一名），群星创新大奖、临近空间杯一等奖等多项个人奖与团体奖。目前为IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Artificial Intelligence等国际期刊客座编委、青年编委。受邀作为组织主席，举办ICRCA 2022国际会议与AMEE 2022国际会议；并承担DDCLS’22大会与DOCS’22大会专题主席。
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经报告人许可后，视频将上传至中国自动化学会B站、iqiyi、微博等平台，欢迎大家观看！
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