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University of Hawaii

Electrical Engineering

Mobility in PHM: Diagnostics and Prognostics of Power Transmission Lines

Date: 2020-01-17           Add to Google Calendar
Time: 11:30-12:30
Location: Holmes 244
Speaker: Ki-Yong Oh, Assistant Professor, Chung-Ang University

Sponsored by the College of Engineering Professors and Pizza series

Education:

  • PhD, Mechanical Engineering, University of Michigan, 2016
  • MS, Mechanical Engineering, Korea Advanced Institute of Science and Technology, 2006†
  • BS, Mechanical Engineering, Hanyang University, 2005 †

Research Interests: Intelligent diagnostic robots, mobility in Prognostics and Health Management (PHM), and AI based PHM to enhance the safety and reliability of complex energy systems

Abstract: Mobility is a core technology with internet of things and artificial intelligence for the 4th industrial revolution. The mobility is also applicable for the field of prognostics and health management (PHM) in the sense that this technology not only provides an easy way to approach any facility of interest, but also replaces humanís duty in a dangerous environment for condition monitoring and fault detections. My talk presents the usefulness and applicability of the mobility in PHM with examples of an inspection of power transmission lines by using two inspection systems deployed in an unmanned aerial vehicle. Inspection of power transmission lines is a good example to demonstrate effectiveness of mobility because power transmission lines are difficult to inspect. Power transmission lines are wide-spread, located at a variety of regions, and suffer from severe environments, resulting in a variety of failures including a gunshot damage, a bird caging, internal/external corrosion, and excessive sag. Novel sensors deployed on an unmanned aerial vehicle with an autonomous flight technique give one a chance to approach power transmission lines for precise inspection. Specifically, a drone-corona camera platform provides a useful way for the diagnostics of power transmission lines in that they can detect a place faulted. A drone-lidar platform is a good way for the prognosis of power transmission lines because the data measured is used for sag estimation and tree encroachment. A field demonstration of these platforms confirm that the mobility offers potential utility for the enhancement of current technologies of PHM because of inherent advantages of the mobility.



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