There is a desperate need for competent application of statistical skills to support reliability and performance analysis of asset health as part of opportunities offered by predictive maintenance. These projects focus on real industry data sets to apply existing bayesian inference and prediction methods and present the results to industry.
We are also interested in projects working with applied mathematicians to determine the efficiency of organisation’s internal business processes, specifically those in maintenance management. Data used in enterprise asset management systems is used to model the transactions and identify bottlenecks.