Projects per year
Personal profile
Research Interests
- Artificial Intelligence (AI) and intelligent system applications in power engineering
- Engineering application of data science and data analytics
- Condition monitoring, diagnostics and prognostics for equipment, plant and power networks
- Distributed intelligence in electric power systems, active network management and Smart Grids
- Nuclear power plant monitoring, diagnosis, prediction, and lifetime extension
- Intelligent system methods: knowledge based systems; model based reasoning; machine learning
- Multi-Agent Systems and Intelligent Agents: multi-agent methods, models, techniques and architectures for power engineering applications
- Decision support environments
Personal Statement
My area of expertise is intelligent system applications in energy, covering condition monitoring, diagnostics and prognostics, active network management and wider smart grid applications. My research leadership roles include being Director of the EPSRC Centre for Doctoral Training in Future Power Networks and Smart Grids, which is a partnership between Strathclyde and Imperial College, London. I am also Academic Director of the Advanced Nuclear Research Centre at the University of Strathclyde. This is delivering a range of solutions for through-life plant management to UK and international industrial partners. As part of this activity I am the Academic Principal Investigator on the EPSRC Prosperity Partnership programme entitled "Delivering Enhanced Through-Life Nuclear Asset Management".
I lead the UKRI EnergyREV programme. This brings together 22 universities and 32 investigators to deliver novel research and innovation that will accelerate the uptake, value and impact of Smart Local Energy Systems. EnergyREV is a key component of the UK Industrial Strategy Challenge Fund’s Prospering from the Energy Revolution (PFER) programme. PFER intends to prove investable, scalable local business models using integrated approaches to deliver cleaner, cheaper energy services.
Within the University I am a Deputy Associate Principal for Research, Knowledge Exchange and Innovation with a remit including REF 2021 preparation and EPSRC relationship management. I am also co-Director of the Institute for Energy and Environment and Academic Director of the Low Carbon Power and Energy Programme within the Technology and Innovation Centre. Previously, from August 2011 until June 2014, I was the Head of the Department of Electronic and Electrical Engineering.
Teaching Interests
My teaching activities cover intelligent systems, distributed intelligence in power systems, smart grids, condition monitoring, and diagnostic systems.
Expertise & Capabilities
- Intelligent systems, with a focus on power and energy applications.
- Research and development of diagnostic and prognostic decision support systems.
- Decision support frameworks and architectures, using distributed intelligence methods and platforms.
- Smart Grid applications.
- Plant lifetime extension in the civil nuclear industry.
Education/Academic qualification
Doctor of Philosophy, UNIVERSITY OF STRATHCLYDE
Bachelor of Engineering, UNIVERSITY OF STRATHCLYDE
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Projects
EPSRC Capital Award for Core Equipment 2019
EPSRC (Engineering and Physical Sciences Research Council)
29/11/19 → 28/05/21
Project: Research
Research Output
Automated distribution network fault cause identification with advanced similarity metrics
Jiang, X., Stephen, B. & McArthur, S., 7 May 2020, In : IEEE Transactions on Power Delivery. 8 p.Research output: Contribution to journal › Article
Open Access
File
Improved online localisation of CANDU duel defects using ancillary data sources and neural networks
Wallace, C., McEwan, C., West, G., Aylward, W. & McArthur, S., 3 May 2020, In : Nuclear Technology. 206, 5, p. 697-705 9 p.Research output: Contribution to journal › Article
Thesis
A data analytic approach to automatic fault diagnosis and prognosis for distribution automation
Author: Wang, X., 10 Oct 2017Supervisor: McArthur, S. (Supervisor) & Strachan, S. (Supervisor)
Student thesis: Doctoral Thesis
A framework for developing a prognostic model using partial discharge data from electrical trees
Author: Nur Hakimah Binti AB Aziz, N., 20 Jun 2018Supervisor: McArthur, S. (Supervisor) & Catterson, V. (Supervisor)
Student thesis: Doctoral Thesis
Prizes
IEEE Power & Energy Society Technical Committee Prize Paper Award.
Stephen McArthur (Recipient), Jul 2010
Prize: Prize (including medals and awards)
IEEE Power & Energy Society Technical Committee Working Group Recognition Award
Stephen McArthur (Recipient), Jul 2008
Prize: Prize (including medals and awards)
Activities
Keynote Presentation on "Digitilisation in Nuclear - Harnessing Data Science for Enhanced Through Life Management of Nuclear Plants"
Stephen McArthur (Speaker)24 Jan 2018
Activity: Talk or presentation types › Invited talk
Engineering and Physical Sciences Research Council (External organisation)
Stephen McArthur (Advisor)1 Jan 2018 → 31 Dec 2020
Activity: Membership types › Membership of committee
Impacts
A Sustainable Energy Future
Stephen McArthur (Participant)
Impact: Impact - for External Portal › Economic and commerce
Energy Access in Rural Malawi
Peter Dauenhauer (Participant), Damien Frame (Participant), George Bell (Participant), Stephen McArthur (Participant), Magnus Currie (Participant)
Impact: Impact - for External Portal › Economic and commerce, Environment and sustainability - natural world and built environment, Health and welfare - new products, guidelines and services, Quality of life and safety, Education, Policy and legislation, Public understanding, information and debate