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I'm investigating a broad range of topics related to Health Management Technologies, with application to equipment health management (EHM) system design, prognostic and diagnostic algorithms, and integration of monitoring with control function for through-life adaptable machines.

The research undertaken exposes the benefit of advanced Health Monitoring through in-house development, demonstration and analysis of new technologies. Technologies explored include advances in algorithms, sensors, and the acquisition, transfer, and management of monitoring data.

I have worked on developing and applying techniques directed at:- modelling and forecasting degradation with Bayesian models of uncertainty; modelling faults from data and physics; performance analysis with multivariate data analysis; design of diagnostic algorithms with time-frequency signal analysis and model-based techniques; model-based design of monitoring algorithms with deployment on FPGAs, DSPs and multi-core processors; providing intelligence for adaptation to autonomous systems.

I work closely with industry on integrated project teams, demonstration engine programmes and research programmes to ensure the insertion of technology into tomorrow’s products.