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        XJTU-UoB Online Workshop

        發布時間:2021-08-05 點擊數:

        Subject

        Intelligent fault diagnosis and prognostics for critical components of railway vehicles

        Organization

        Institute of Design Science and Basic Components, Xi’an Jiaotong University, China

        Birmingham Centre for Railway Research and Education, University of Birmingham, UK

        Chairs

        Prof. Yaguo Lei, Director of the Institute of Design Science and Basic Components

        Prof. Clive Roberts, Director of the Birmingham Centre for Railway Research and Education

        Abstract

        Fault diagnosis and prognostics of railway vehicles are increasingly concerned in UK and China. In both countries, railway transportation systems have achieved exciting achievements around the world. The critical components of railway vehicles, such as wheelset bearings, pantograph, and bogies, are significant for the service of train vehicles. To ensure the safe running of railway vehicles, machine learning theory has presented a powerful ability, especially fueled by deep learning recently. This workshop is organized by Xi’an Jiaotong University and the University of Birmingham and is sponsored by NSFC-RS International Exchanges Scheme (51911530198, IEC\NSFC\181374). The event will discuss and exchange information and knowledge of XJTU and UoB in areas of intelligent fault diagnosis and prognostics of railway vehicles. Besides, it is also open to other researchers who are interested in the relevant topics. Due to the Covid-19 pandemic, this workshop will be held online (virtual conference).


        We use the VooV Meeting Service at https://voovmeeting.com/, and below are the agenda and the link to the Meeting. NOTE that the Tencent Meeting in China region is directly associated with the meeting information.


        Meeting Topic: XJTU-UoB Online Workshop

        Meeting Time: August 10, 2021, 9:00-11:00 AM (BST), 16:00-18:00 (CST-Beijing)

        Meeting Address (VooV/Tencent Meeting Link): https://meeting.tencent.com/s/YexgE9pAyB9q

        Meeting ID: 524 826 351

        Passcode: 021810




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