Dr Graeme West


Electronic and Electrical Engineering


Personal statement

I am a Reader in the department of Electronic and Electrical Engineering, having been appointed through the Chancellor's Fellowship scheme.  My research interests lie in the area of intelligent decision support, primarily for applications in the Energy Industry, and with a particular focus on through lifetime management of nuclear power generation assets.  This covers a broad range of disciplines ranging from artificial intelligence, machine learning, & data analytics through to image and video processing.  Application areas include inspection, condition monitoring, diagnostics and prognostics of plant items, both from individual asset and fleet wide perspectives.  I am an academic lead in the University’s Advanced Nuclear Research Centre (ANRC).

My current projects at the University include improving understanding of the graphite reactor cores of Advanced Gas-cooled Reactors (AGR) through analysis of refuelling data (EDF Energy), Automated sizing and classification of defects in CANDU reactor pressure tubes (Bruce Power), improved visual inspection of AGR fuel channel bricks (EDF Energy) and visual inspection of steel pipe work in the nuclear industry (NNL, Sellafield, WideBlue, Inspecta-hire).


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Area of Expertise

  • Intelligent Systems and Artificial Intelligence
  • Data Analytics and Machine Learning
  • Condition Monitoring, Diagnostics and Prognostics
  • Nuclear power generation instrumentation and control
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Enhanced video-level anomaly feature detection for nuclear power plant component inspections using the latency mechanism
Fei Zhouxiang, Manning Callum, West Graeme M, Murray Paul, Dobie Gordon
Nuclear Technology, pp. 1-15 (2024)
Forecasting the remaining useful life of filters in nuclear power plants
Young Andrew, Devereux Michael, Brown Blair, Stephen Bruce, West Graeme, McArthur Stephen
Nuclear Technology (2024)
A framework for capturing and representing the process to classify nuclear waste and informing where processes can be automated
Hume Seonaid, West Graeme, Dobie Gordon
Progress in Nuclear Energy Vol 170 (2024)
CNN-based automated approach to crack-feature detection in steam cycle components
Fei Zhouxiang, West Graeme M, Murray Paul, Dobie Gordon
International Journal of Pressure Vessels and Piping Vol 207 (2024)
Enhancing efficiency and reliability in nuclear power plant component inspection through automated anomaly detection and imaging techniques
Young Andrew, Fei Zhouxiang, West Graeme, Murray Paul, Zabalza Jaime, Kennedy Chris, Barpugga Harpreet
4th Annual International Conference on Disruptive, Innovative and Emerging Technologies in the Nuclear Industry (2023)
Remaining useful life prediction of filters in nuclear power plants
Young Andrew, Devereux Michael, Brown Blair David, Stephen Bruce, West Graeme, McArthur Stephen
13th Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies (2023)

More publications

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I am 2nd Year Adviser of Studies for the BEng/MEng Electronic and Electrical Engineering undergraduate degree courses.

i am module registrar for EM501: Fifth Year Group Projects for the MEng Electrical and Mechanical Engineering Students.

I am responsible for the 2nd year EE/EM271 Sensor and Signal Processing Laboratory where the students design and build an instrument for measuring the thickness of steel using an ultrasonic transducer.

I am module registrar for the 3rd Year EM310: Signal and Systems course which covers the concepts and analysis of signals in both the time and frequency domains in the context of both analogue and discrete (digital) domains, baoth in terms of mathematical analysis and practical systems.

I teach a 5-week module on "Intelligent Condition Monitoring" as part of ME507 Machinery Diagnosis and Condition Monitoring.

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Research Interests

My research interests are in the design and application of artificial intelligence techniques to support the management of key engineering assets in a number of industries.  I have a particular focus in nuclear power generation applications and my research supports EDF Energy, who run and maintain the UK's Civil nuclear power stations, in analysing data that comes from their graphite reactor cores.  

Professional Activities

Enhanced Video-Level Anomaly Feature Detection for Nuclear Power Plant Component Inspections Using the Latency Mechanism
Automated detection of crack features in nuclear superheaters using deep learning with automatically labelled datasets
Panel Session on PHM Applications in Power Generation
Artificial Intelligence in Nuclear Power Generation Applications
American Nuclear Society (ANS) Human Factors (External organisation)

More professional activities


Turing Network Development Call
McArthur, Stephen (Principal Investigator) West, Graeme (Co-investigator)
01-Jan-2022 - 30-Jan-2022
NNL Gamechangers GC_142 Phase 5 (Linked to 191761) Image Processing for Enhanced Visualisation
Murray, Paul (Principal Investigator) Marshall, Stephen (Co-investigator) West, Graeme (Co-investigator) Zabalza, Jaime (Co-investigator)
18-Jan-2021 - 31-Jan-2022
KTP - ICR Integrity
West, Graeme (Principal Investigator) McArthur, Stephen (Co-investigator)
27-Jan-2020 - 26-Jan-2022
Image Processing for Enhanced Visual Inspection of Nuclear Waste Packages GC142 Phase 2
Murray, Paul (Principal Investigator) Marshall, Stephen (Co-investigator) Ren, Jinchang (Co-investigator) West, Graeme (Co-investigator) Zabalza, Jaime (Research Co-investigator)
01-Jan-2020 - 30-Jan-2021
Doctoral Training Partnership 2018-19 University of Strathclyde | Fagan, Andrew
West, Graeme (Principal Investigator) McArthur, Stephen (Co-investigator) Fagan, Andrew (Research Co-investigator)
01-Jan-2019 - 01-Jan-2023
ANRC 04 Advanced Image Processing Techniques for In-core Inspections
West, Graeme (Principal Investigator) Murray, Paul (Co-investigator)
01-Jan-2018 - 01-Jan-2021

More projects

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Dr Graeme West
Electronic and Electrical Engineering

Email: graeme.west@strath.ac.uk
Tel: 548 3542