Dr Andrew Mills
MEng, CEng
School of Electrical and Electronic Engineering
Senior Industrial Research Fellow
Research Programme Manager
+44 114 222 5634
Full contact details
School of Electrical and Electronic Engineering
Amy Johnson Building
Portobello Street
91直播
S1 3JD
- Profile
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I graduated from 91直播 in Control Engineering with sponsorship from the UK Government鈥檚 Engineering and Science Group and the Royal Academy of Engineering. After working in industry on aerospace and automotive applications in the UK and Germany, I took my current post within the University Technology Centre (UTC), supported by Rolls-Royce. Embedded within the Department of Automatic Control and Systems Engineering, the UTC houses industrially relevant research in control and health monitoring systems engineering.
In my current roles, I shape and co-ordinate a portfolio of industry and research council funded research, PhD projects and MSc projects aimed at delivering high quality academic and industrially exploitable research output. The projects are designed to maintain the UTC's position as Rolls-Royce鈥檚 first choice for control and monitoring systems research, and to develop the Research Centre鈥檚 expertise to be positioned for industries鈥 future control system needs.
- Research interests
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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鈥檚 products.
- Research group
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Martha Bin Zaidan: Bayesian forecasting of the remaining useful life civil aerospace gas turbine engines
Rajesh Kudikala: Optimisation of future gas turbine engine control system architectures
Aldo Villanueva Marcocchio: Smart wireless sensing for aero-engines
Zhou Sun: Novelty detection and compressive sensing
Ariel Cano: Advanced control strategies for managing dynamic integrated power systems
Romain Guicherd: Distributed model-based control for gas turbine systems
- Grants
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- ASUR 鈥淎utonomous Multi-criteria Decision Making鈥, 2015.
- TSB HITEA II, 鈥淎dvanced Intelligent EHM鈥 (PI), 2014鈥2017.
- Rolls-Royce, 鈥淐ontrol & Systems UTC鈥 (CI), 2013鈥2015.
- QinetiQ, 鈥淎pplied Prognostics鈥 (PI), 2013-2015.
- EPSRC, 鈥淭hrough-life Service Feasibility grant鈥 (PI), 2013鈥2014.
- Rolls-Royce, 鈥淲ireless Sensing for Monitoring鈥 (PI), 2013鈥2015.
- TSB, 鈥淪ILOET II WP.1.6 鈥 Holistic Control & Health Monitoring鈥 (CI), 2013鈥2015.
- Rolls-Royce, 鈥淲ireless Sensing in Extreme Marine Environment鈥 (CI), 2013鈥2013.
- Rolls-Royce, 鈥淎utonomous Intelligence for Civil UAS鈥 (PI), February 2012鈥揊ebruary 2013.
- Professional activities and memberships
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- Member IMechE / IET / RAeS Joint Propulsion Committee
- Invited Panellist for Prognostics and Health Management conferences
- Reviewer, various Aerospace conferences and Journals
- Lecturer for Industrial Gas Turbine Controls Course in:
- Gas Turbine Control Laws
- Gas Turbine Software Architecture
- Fault Tolerance and Control
- Health Care Monitoring
- System Identification.