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Personal profile

Personal Statement

I am a Senior Lecturer 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).

 

Expertise & Capabilities

  • Intelligent Systems and Artificial Intelligence
  • Data Analytics and Machine Learning
  • Condition Monitoring, Diagnostics and Prognostics
  • Nuclear power generation instrumentation and control

Teaching Interests

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.

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.  

Education/Academic qualification

Doctor of Philosophy, University of Strathclyde

Bachelor of Engineering, University of Strathclyde

Keywords

  • Diagnostics
  • Prognostics
  • Condition Monitoring
  • Intelligent Systems
  • Artificial Intelligence
  • Nuclear
  • Data Analytics
  • Machine Learning

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2012 2022

Research Output 2000 2018

Data-driven analysis of ultrasonic inspection data of pressure tubes

Zacharis, P., West, G., Dobie, G., Lardner, T. & Gachagan, A., 30 Jun 2018, In : Nuclear Technology. 202, p. 153-160 8 p.

Research output: Contribution to journalArticle

inspection
ultrasonics
Inspection
Ultrasonics
tubes
Open Access
File
Synthetic apertures
Transducers
Inspection
Ultrasonics
Defects

Activities 1998 2015

Civil Nuclear Power: Opportunities for Scottish Engineering

West, G. (Contributor)
25 Nov 2015

Activity: Talk or presentationInvited talk

Briefing for the Energy Policy Group - Scotland

West, G. (Contributor)
25 Nov 2015

Activity: OtherTypes of Business and Community - To be assigned

Impacts

Improved monitoring of graphite cores supports the safety case for life extension of nuclear power stations

Graeme West (Participant), Stephen McArthur (Participant)

Impact: Impact - for External PortalQuality of life and safety, Professional practice, training and standards, Environment and sustainability - natural world and built environment

File