"AI Machine Learning Algorithms in the Transformer Industry" with Luiz Cheim скачать в хорошем качестве

"AI Machine Learning Algorithms in the Transformer Industry" with Luiz Cheim

On Monday, October 27th, the Applied AI in Engineering & Computer Science Symposium brought together industry leaders and NC State College of Engineering faculty, staff and students for discussion on our world’s AI-driven future and what the college can do now to ensure our students are prepared. Luiz Cheim, Senior Principal R&D Engineer with ABB/Hitachi Energy presented the topic "AI Machine Learning Algorithms in the Transformer Industry" Luiz Cheim earned a Ph.D. from the University of Nottingham, England, in 1993, and has been with ABB/Hitachi Energy since 2009 working as a senior principal R&D engineer. He has an extensive list of patents from the Transformer Inspection Robot to the proposed Probabilistic Transformer End of Life, from the proposed Lumada APM in cooperation with PGGA in 2011-12 to the jointly proposed Superminds Project and the Probabilistic Transformer Condition Assessment using Bayesian networks. Cheim has an extensive list of international publications and tutorials given as a senior member of the IEEE Transformers Committee and the Cigre Paris Study Committee A2, from which he received the Distinguished Member Award in 2006, and the Best Paper Award in the Paris 2018 Session, with the paper “Machine Learning Tools in Support of Transformer Diagnostics.” More recently, Cheim received the Golden Ticket Award from the Hitachi CEO Keiji Kojima in Tokyo in April 2023, for his proposed Transformer CO2 Extraction System from the Environment. He has certificates from MIT (2008) and Harvard University (2025) on AI Essentials for Business Applications.