Intelligent control strategies for the Industrial Internet Phase II

This phase of the project continues on the research focus of developing intelligent control for machines using derived deep machine learning schemes. The learning algorithms to be developed will use high volume data from various processes in advanced manufacturing and other systems, combined with could based analytics, formulate complex and accurate process models of these processes. These models will then be integrated into advanced controllers that are self-optimizing and are continually updated via deep learning networks and continuous data streams machines. The projects spans several years and can potentially have significant impact on reducing energy use and minimize operational costs of manufacturing systems.

Faculty Supervisor:

Dhirendra Shukla

Student:

Ryan Finn

Partner:

Eigen Innovations Inc.

Discipline:

Engineering - mechanical

Sector:

Information and communications technologies

University:

University of New Brunswick