In developing our collaborations with experts and scholars around the globe, we were happy to welcome Dr. Byeng Dong YOUN, Professor of Mechanical and Aerospace Engineering at Seoul National University (SNU), the founder and CEO of OnePredict Inc. (onepredict.com), and the President of the Korean Society of Prognostics and Health Management (PHM). Prof. Youn presented his talk on Industry AI based Machine Intelligences for Industrial Digitalization and we discussed the challenges related to applying machine learning techniques in industrial monitoring.
Unexpected failures of engineered systems can lead to significant economic and societal losses. To minimize the losses, reliability must be ensured throughout the system’s lifecycle in the presence of manufacturing variability and uncertain operational conditions. This talk presents recent advances in Prognostics and Health Management (PHM) technology that can ensure high reliability and maintainability of complex engineered systems through autonomous sensing, diagnosis, prediction, and mitigation of adverse events during various missions of the systems. The PHM technology is a core technology for asset management, composed of four functions: (i) health sensing function, (ii) health reasoning function, (iii) health prognostics function, and (d) health management function. This talk defines the industrial AI and presents three levels of industrial AI technology for machine intelligences. In the end, several success stories of the machine intelligences using industrial AI are demonstrated for industrial digitalization including manufacturing, transportation, power generation and delivery.
Prof. Byeng Dong YOUN is the Professor of Mechanical and Aerospace Engineering at Seoul National University (SNU), the founder and CEO of OnePredict Inc. (onepredict.com), and the President of the Korean Society of PHM. Before joining SNU, he used to be the Assistant Professor in the Department of Mechanical Engineering at the University of Maryland, College Park. He is currently the Future-Tech Advisory Committee Member of LG Electronics. He earned Ph.D. from the University of Iowa in 2001. His current research includes prognostics and health management (PHM), engineering design under uncertainty, and energy harvester design. His dedication and efforts in research and development have garnered substantive peer recognition resulting in many notable awards including the Prime Minister Award (2019), the Research Award from the Korean Society of Design Optimization (2019), the Shin Yang Academic Award from Seoul National University (2017), the 11-time winner of Global PHM Data Challenges including PHM Society Data Challenge Winners (2014, 2015, 2017), the IEEE PHM Competition Winner (2014), the Young Faculty Development Award from the U.S. Nuclear Regulatory Commission (2009), the ASME IDETC Best Paper Awards (2001, 2008), the ISSMO/Springer Prize for a Young Scientist (2005), the Silver Medal of Samsung HumanTech (2002), etc. He has about 400 publications (over 110 journal articles, one textbook (Springer), over 300 international conference proceedings, and four book chapter) in the area of PHM, reliability analysis and design, and energy harvesting. He also serves as an Editor of many notable journals including International Journal of Precision Engineering and Manufacturing (IJPEM), Structural and Multidisciplinary Optimization (SMO), Journal of Mechanical Science and Technology (JMST), and JMST Advances. His research has been supported by the National Research Foundation (NRF) in Korea, Korea Electric Power Corporation (KEPCO), Samsung Electronics, U.S. Army, Hyundai Motors, LG Electronics, General Motors, and so on.