学术动态

阿尔伯塔大学陈通文教授学术报告会

发布人:学术组发表时间:2020-11-23点击:

报告地点:信息楼自动化学院310报告厅

ZOOM会议ID983 8099 5221密码:201126

报告时间:1126日(星期四)11:05

人:陈通文阿尔伯塔大学教授

报告题目:Advanced Alarm Analytics Tools Developed at the University of Alberta

内容简介:In operating industrial facilities, alarm systems are configured to notify operators about any abnormal situation. The industrial standards (EEMUA and ISA) suggest that on average an operator should not receive more than six alarms per hour. This is, however, is rarely the case in practice as the number of alarms each operator receives is far more than the standard. This talk will summarize some recent results on advanced alarm analytics and present a new set of tools for design of alarm systems and improvement of alarm management. The essential functionalities of the tools include alarm visualization, alarm performance evaluation and analysis, rationalization design, and alarm flood analysis, thereby to help industrial processes to comply with the new standards. The tools have been tested with real industrial data and used by process engineers in Canada and elsewhere.

报告人简介:Tongwen Chen is currently a Professor and Tier 1 Canada Research Chair in Intelligent Monitoring and Control at the University of Alberta, Canada. He received the BEng degree in Automation and Instrumentation from Tsinghua University (Beijing) in 1984, and the MASc and PhD degrees in Electrical Engineering from the University of Toronto in 1988 and 1991, respectively. His research interests include computer and network based control systems, event triggered control, process safety and alarm systems, and their applications to the process and power industries. He is a Fellow of IEEE, IFAC, as well as Canadian Academy of Engineering.