1. Digital Twin Enabled Facilities Maintenance Management through the Integration of Artificial Intelligence and Sensory-Level Data Restricted (Penn State Only) Author: Shakerian, Shahrad Title: Digital Twin Enabled Facilities Maintenance Management through the Integration of Artificial Intelligence and Sensory-Level Data Graduate Program: Architectural Engineering (PHD) Keywords: Facility maintenancedigital twinsmachine learningsignal processingfailure predictionearly failure detectionanomaly detection File: Login to Download Committee Members: Bill Sitzabee, Co-Chair & Dissertation AdvisorSomayeh Asadi, Major Field MemberHoutan Jebelli, Co-Chair & Dissertation AdvisorAsok Ray, Outside Unit & Field MemberSomayeh Asadi, Professor in Charge/Director of Graduate Studies