Modern Condition Monitoring: Frameworks and Data-Driven Methodologies

FEBE EXPERT TALK

Date: Thursday, 28 August 2025

Time: 12:00

Duration: 90 Minutes

Platform: Hybrid

Venue for Physical Attendance: DEEET Boardroom

Link for Remote Attendance: Link to be generated by the FEBE Marketing Co-ordinator

Topic:  Modern Condition Monitoring: Frameworks and Data-Driven Methodologies

Speaker: Prof Wesley Doorsamy

Organization: University of Leeds

E-mails: w.doorsamy@leeds.ac.uk

DEEET Hosts: Prof Bokoro

FEBE TOPIC FOCUS: SDG and 4IR

Target Audience: FEBE Postgraduate Students, Post Doctoral Research Fellows,  and  FEBE board members.

Hybrid link: https://shorturl.at/oWsoO

Abstract

The paradigm shift in condition monitoring – with the advent of new technologies – has prompted a rethinking of this vital component in asset management and maintenance strategy contexts. New opportunities in condition monitoring have arisen with the movement towards data-driven and hybrid approaches, in contrast to conventional model-based methods, making incipient fault diagnostics and advanced prognostics possible. Artificial intelligence/machine learning aptly lends itself to automated online processing and inferential functions, using the large amounts of condition and process data generated by industrial assets, vis-à-vis modern cyber-physical systems and IoT. These opportunities are accompanied by technical challenges, inter alia, data imbalance at the device level and data integration at the system level. This talk deals with the “what”, “why”, and “how” of modern condition monitoring in the asset management context, with a focus on leveraging the opportunities and highlighting the challenges.

About the Speaker

Wesley Doorsamy is based at the School of Electronic and Electrical Engineering at the University of Leeds. Prior to this, he was based at the University of Johannesburg, where he currently holds a position as Visiting Associate Professor. He holds a BSc in Electrical Engineering, an MSc in Engineering, and a PhD from the University of the Witwatersrand. Additionally, he earned a Graduate Diploma in Data Science from the University of London and an MSc in Computer Science (with Artificial Intelligence) from the University of York. He also holds a Postgraduate Diploma in Higher Education. Wesley’s is a rated researcher with the National Research Foundation (NRF) of South Africa, an affiliate of the African Academy of Sciences (AAS), and a member of several professional bodies, including the Association for Computing Machinery (ACM) and the Institution of Engineering and Technology (IET). He is also a Senior Member of both the South African Institute of Electrical Engineers (SAIEE) and the Institute of Electrical and Electronics Engineers (IEEE).