Industrial AI course Spring 2024 Finished!
ENME691 Industrial AI course in Spring 2024 at UMD finished!
COURSE DESCRIPTION
In today’s competitive business environments, companies have an urgent need to use advanced analytical tools to manage their industrial data to gain more insights into their operations. Those insights include machine health condition, system remaining useful life, system performance, and other key performance indicators. With the advent of networked devices, an abundance of data now exists in virtually every level of industry, from the individual manufacturing asset to the manufacturing facility as well as the entire organization. This data is often not used to its greatest potential. It is often acquired, stored, and forgotten. Most organizations understand the need to acquire data but do not understand how to leverage the data to enhance their system design, condition monitoring, and decision-making capabilities. This course will introduce students to advanced technologies—such as machine learning and tools, prognostics and health management (PHM), and data-centric engineering analytics—that ultimately enable the conversion of industrial big data into decision-ready information that can be used to improve the design, the productivity and the efficiency of industrial systems.