A CAVS Researcher and Electrical and Computer Engineering (ECE) Department graduates Jackson Cornelius and Blake Brockner, currently at CFD Research Corporation, along with Seong Hyeon Hong and Yi Wang from the University of South Carolina, Kapil Pant from CFD Research Corporation, and John Ball from CAVS at Mississippi State University, won the best industry paper award at the 2020 IEEE International Conference on Prognostics and Health Management (ICPHM) for their paper entitled “Estimating and Leveraging Uncertainties in Deep Learning for Remaining Useful Life Prediction in Mechanical Systems”.
The ICPHM is the premier venue for scientists and engineers together and share cutting edge research related to health management and prognostics since 2009. Topics covered span from modeling and simulation to verification and validation; from analysis of uncertainty to integrated structural/frame health management; from Prognostics and Health Management (PHM) within distributed, networked, cloud computing, information, and communications systems to battery system health management.
The work performed by Ball and this team reported a novel approach for estimating epistemic and heteroscedastic aleatoric uncertainties in deep neural network models for remaining useful life prediction of mechanical systems.
“This paper gives researchers deeper insights into data uncertainty and how the uncertainty affects remaining useful life predictions, which not only allows better analysis of engine failure (as shown in this paper), but also has wide applicability to failure assessment in general,” Ball stated.
“Dr. Ball has established himself as a leader in deep learning and its applications to myriad fields including health care. The department is proud of Dr. Ball’s latest achievement, and we all feel prouder of the ECE graduates being part of the award-winning team,” said Dr. Khan, the ECE Department Head.
For more information about John Ball, please visit his webpage.