Big Data Analytics for Manufacturing

Over the past few decades with the advent of process computers, more informative sensing technology, and overall decreased costs relating to data resources, massive amounts of routine plant data have become available.

Given the existence of such ‘big’ industrial data repositories, it has stimulated huge promise of economic values through the use of data-driven techniques built from historical data for process monitoring, fault diagnosis, optimisation, and control.

The main focus of our laboratory is to develop techniques that can be used to promote the better use of available massive amounts of routine plant data to achieve higher levels of safety, quality, and profitability in process manufacturing.