This research develops and uses ML techniques to automatically, extract meaningful information from existing data and transform it into domain specific knowledge. Outcomes from this research can improve power system asset condition assessment and maintenance.

The research team led by Dr Hui Ma has created a Bayesian information fusion-based algorithm, which can integrate data from field condition monitoring, maintenance records, and failure statistics to construct an inference probabilistic model to determine a health index for power system assets.

Project members

Dr Hui Ma

Senior Lecturer
School of Information Technology and Electrical Engineering