2018年1月29日学术报告

编辑:吴秦时间:2018-01-27点击数:

报告题目(Title): Data driven Causality Analysis – Systems Engineering Perspective
报告人姓名(Speaker): 黄彪教授
时间(Date&Time): 2018年1月29日14: 00
地点(Location): 物联网工程学院C317室
报告摘要(Abstract): Modern industries are awash with large amount of data. Extraction of information and knowledge discovery from data for control system design and system monitoring, from day by day routine process operating data, is interesting but challenging. There exist numerous challenging issues such as unknown causal relation, nonlinearity, non-Gaussian distributions, high dimensionality, collinearity, multiple modal operations, outlying points, missing measurement etc that must be considered during the information extraction process. The most fundamental problem is however the causal relation of data, knowledge of which is essential for data-based control design and fault diagnosis. This presentation will discuss concept of causality, existing algorithms, and state-of-the-art development of causality analysis from data along with future research directions.


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