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A Gentle Introduction of Bayesian Estimation Theory and Two Industrial Applications

创建时间:  2019-04-19  王智渊    浏览次数:


报告题目:A Gentle Introduction of Bayesian Estimation Theory and Two Industrial Applications

报告人: Zhao Shunyi博士(University of Duisburg-Essen)

时间: 2019年4月22日(周一)上午10点

地点: 上海大学宝山校区东区9号机自大楼702B


报告摘要:

This presentation is a brief summarization of the research works which were done in the University of Albertaand University of Duisburg-Essen during the last four years. In this presentation, a gentle introduction to Bayesian estimation is given to show its essence and under what circumstances it is attractive to use Bayesian estimation. Then, we will go a little deeper and show how to solve our Engineering problems based on the Bayesian theory. In this part, the traditional filtering problem and sensor diagnosis problem will be taken as two representative examples. Finally, two successful industrial applications will be introduced. The first one is about the level detection in Primary Separation Vessel, which is an important component in oil-sand industry. In this case, a computer vision system will be built and we will see how the Bayesian theory works on an image and how to apply the popular convolutional neural networks in a real industry plant. The other one is about the Causality Analysis, which gives an example against Bayesian theory but serves as a powerful tool for tracking root of faults.


报告人简介:

Shunyi Zhao received the Ph.D. degreein control theory and application from the Key Laboratory of Advanced Process Control forLight Industry (Ministry of Education), Institute ofAutomation, Jiangnan University,Wuxi, China, in 2015. From 2013 to2014, he was a joint Ph.D. Studentin the Department of Chemical and Materials Engineering, University of Alberta, Edmonton,AB, Canada, where he was a Postdoctoral Fellowfrom 2015 to November, 2018. In 2018, he joined University of Duisburg-Essen as an Alexander von Humboldt Research Fellow in Germany.His research interestsinclude statistical signal processing, Bayesian estimation theory, andfault detection and diagnosis.Dr. Zhao is a senior Member of IEEE, and is the recipient of Alexander von Humboldt Research Fellowshipin Germany, the excellent Ph.D. thesis award (2016) in JiangsuProvince, China, and a nomination of excellent doctoral thesis from Chinese Association of Automation (CAA) in 2016. He is the recipient of the Best Poster Award of Science and Information conference, London, 2015 andservicesas a Leading Guest Editor in International Journal of Distributed Sensor Network from 2018.



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