Projects per year
My main research focus is on the application of Machine Learning to intensive condition monitoring applications in the power and agriculture sectors to automate condition assessment, anomalous condition detection and simulation of future behaviours.
Current research activities can be broadly divided into the following areas:
- Machine Learning applications in power system condition monitoring
- Distributed information systems for power system condition monitoring and asset management
- Modelling and analysis of wind energy systems
- Analysis and automation methods in demand side energy management
- Machine Learning applications in animal welfare
- Wireless ad-hoc networking for livestock monitoring
These include collaborations outside of InstEE with CIDCOM, SAC Easter Bush and Embedded Technology Solutions Ltd.
I joined the University in 1998 and came to work in the Department of Electronic and Electrical Engineering in April 1999. Previously, I had studied Aeronautical Engineering at Glasgow University at undergraduate level and then undertook postgraduate study in the department Computer Science at Strathclyde, gaining an MSc here in 1998. My current research focuses on developing analytical tools to support advances in power systems operation and management such as increasing plant reliability, integrating renewable generation and understanding energy end use. I am currently an investigator on the EU FP7 Orchestrating Renewable Integrated Generation in Neighbourhoods (ORIGIN) project and co-investigator on the EPSRC BuildTEDDI Aging Population Attitudes to Sensor Controlled Home Energy (APAtSCHE) project. I teach two courses on the Electrical Mechanical Engineering degree stream: Engineering Computing and Integrated Design as well as supervising project work undertaken by 4th year, 5th year, MSc and Centre for Doctoral Training PhD students.
Doctor of Philosophy, UNIVERSITY OF STRATHCLYDE
Master of Science, UNIVERSITY OF STRATHCLYDE
Bachelor of Science, University of Glasgow
1/06/19 → 31/05/21
Research Output per year
Research output: Contribution to journal › Article
A novel implementation of vibration signal decomposition for estimation of degradation in rotating plantBrown, B., Stephen, B., McArthur, S., West, G. & Michie, C., 26 Apr 2019, (Accepted/In press). 12 p.
Research output: Contribution to conference › Paper
Activities per year