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SII Webinar Series: Friday, February 6, Noon to 1 PM

Article Posted On 1/15/2015

Please join us Friday, February 6 from noon to 1 PM for George Lederman’s webinar presentation entitled “A Usable Infrastructure Diagnostic Tool and Its Deployment on Pittsburgh's Light Rail Line.” You may join us in person in 1216 Hamburg Hall or use the dial in information below. Please note that the audio portion of the webinar can be accessed through Chorus Call and the slides through WebEx.

Globally, infrastructure is a vital asset for economic prosperity, but condition assessments tend to be subjective and infrequent. This can result in infrastructure failures, and inefficient maintenance. Infrastructure is, by its nature, difficult to monitor as the assets are large, the installations unique, and the operating conditions unpredictable. We propose a low-cost monitoring solution for rail infrastructure, by placing inertial sensors on revenue-service trains, a system which we have deployed on Pittsburgh's light rail line. Using statistical and pattern recognition techniques, we have been able to identify several important changes in the track structure, independent of the varying environmental conditions. Our research aims to build useful diagnostic tools to help the system owners operate their assets more safely and efficiently.

George Lederman is a PhD candidate in Advanced Infrastructure Systems. He received a Bachelor of Science in Engineering from Princeton University, a Masters in Civil Engineering from CMU, and is currently pursuing a Masters in Electrical and Computer Engineering from CMU along with his PhD. He is currently a National Science Foundation Graduate Research Fellow.

Friday, February 6 from Noon to 1 PM
George Lederman, Civil & Environmental EngineeringA Usable Infrastructure Diagnostic Tool and Its Deployment on Pittsburgh's Light Rail Line
Audio Connection/Chorus Call (for voice)Toll-free: 1-800-882-3610
Local: 412-380-2000
Access Code: 9356131
WebEx Information (for slides only/no voice)Click to Join Webinar

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