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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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For more information contact Lew Roberts at: l.roberts@gatech.edu
Summary Sentence: Joins us at an Open House, Tuesday July 12th | 3-6pm at the Georgia Tech campus in Savannah
Full Summary: The Georgia Tech Supply Chain Executive Round Table will be hosting an “Open House” with Dr. Nagi Gebraeel on Tuesday July 12th from 3:00 p.m.-6:00 p.m. at the Georgia Tech campus in Savannah. During the open house Dr. Gebraeel will provide a short lecture entitled: "Predictive Analytics for Improving the Reliability and Sustainability of Engineering Systems." which will be followed by an open discussion session on this topic.
GT Savannah Open House Featuring Dr. Nagi GebraeelThe Georgia Tech Supply Chain Executive Round Table will be hosting an “Open House” with Dr. Nagi Gebraeel on Tuesday July 12th from 3:00 p.m.-6:00 p.m. at the Georgia Tech campus in Savannah. During the open house Dr. Gebraeel will provide a short lecture entitled: "Predictive Analytics for Improving the Reliability and Sustainability of Engineering Systems." which will be followed by an open discussion session on this topic.
Many high-valued engineering assets used in the manufacturing and service sectors are today being monitored by hundreds and perhaps thousands of sensors. Typically, the goal is to monitor system performance and degradation for numerous purposes, one of which is the prevention of unexpected failures. This talk focuses on how to effectively utilize sensor data to predict future system degradation and remaining lifetime (aka prognostics). The talk will begin by introducing a basic prognostic framework and how it has been implemented. Next, the talk will also focus on the use Big (Sensor) Data in managing system performance. This will be followed by an open discussion about some of the recently developed state-of-the-art modeling techniques that are being used to help predict and prevent system failures.
Dr. Gebraeel is the Chandler Family associate professor of Industrial and Systems Engineering at Georgia Institute of Technology. He received his MS and PhD in Industrial Engineering from Purdue University, 1998 and 2003, respectively. Dr. Gebraeel’s research interests are in leveraging condition-based sensor data streams to improve the predictability of unexpected failures of engineering systems, and improving subsequent operational and logistical decision making processes. He is a member of the Institute of Operations Research and Management Science (INFORMS), the Institute of Industrial Engineers (IIE), and the American Institute of Aeronautics and Astronautics (AIAA).
For more information contact Lew Roberts at l.roberts@gatech.edu.
