IMS Center 36th Industry Advisory Board Meeting & Annual Forum on Industrial AI

Professor Jay lee will introduce two new key areas of focus for the IMS Center
that will leverage and build upon our past successes, expand our research to encompass Industrial AI, and carry the Center forward into a new chapter:

• Maintenance AI
  Maintenance AI seeks to build upon the key areas that the Center has pioneered over the past 20 years, including predictive maintenance, remaining useful life estimation, degradation assessment, and intelligent maintenance. Unmet challenges in these areas will be solved by developing new methodologies and “rapid learning” tools, as well as standardized and secure approaches to sharing key data and information for large scale and geographically distributed assets, across an entire enterprise, and even across an industry, to accelerate outcomes, broaden applicability, and improve solution accuracy.
  
  

• Manufacturing AI
  The IMS Center has been at the forefront of the application of machine learning and AI in the discreet and process manufacturing, most notably in the semiconductor manufacturing industry. Many challenges still exist in measuring, estimating and predicting process variables, as well as in tying estimations or measurements to optimal control of the process to ensure improved quality. The Center will investigate and develop new methods and tools for tackling these challenges, with a focus on complex systems, as well as large scale, and geographically distributed systems.

Performance Enhancement of Cross-Domain Fault Diagnosis in Rotating Machinery
Abhijeet Ainapure, MS Graduate Student Researcher

Industrial Artificial Intelligence in Abbott Molecular Diagnostics
Dr. Yuan Di, Data Scientist, Abbott