Contact Dr Suresh Perinpanayagam

Areas of expertise

  • Aeronautical Systems
  • Autonomous Systems
  • Electric and Hybrid Vehicles
  • Electric Power Machines
  • Mechatronics & Advanced Controls
  • Monitoring and Environmental Informatics
  • Safety, Resilience, Risk & Reliability
  • Sensor Technologies
  • Space Systems
  • Throughlife Engineering Services
  • Vehicle Health Management

Background

Dr Suresh Perinpanayagam is a Senior Lecturer in Intelligent Systems and a Chartered Engineer at the Integrated Vehicle Health Management (IVHM) Centre, Cranfield University. Suresh’s expertise is in Data-Centric Engineering and Digital Twins for Intelligent Systems. Suresh has a Bachelor and Master in Aeronautical Engineering from Imperial College London. He pursued his PhD at the Rolls-Royce University Technology Centre at Imperial College, under the auspices of the European FP7 programme. During this tenure, he worked with major engine manufacturers in Europe (Rolls-Royce, UK; MTU, Germany; SNECMA, France).

Suresh was on sabbatical at Charles Darwin University (CDU) as an Associate Professor and the Clough-sponsored Chair on Predictive Analytics and Intelligent Maintenance (https://clough.com.au/clough-collaboration-with-charles-darwin-university/) for the oil and gas sector. This position was fully funded by Clough Australia. Suresh has also collaborated with the SMART Centre on Future Urban Mobility, established by the Massachusetts Institute of Technology (MIT) in partnership with the National Research Foundation of Singapore (NRF).

Suresh has worked on over 25 industry-led projects funded by industry partners, Aerospace Technology Institute (ATI), Engineering and Physical Sciences Research Council (EPSRC), UK Research and Innovation, and European Commission. He has received grants worth more than US$4 million over his career as principal investigator. Suresh has provided academic mentoring and leadership to over fifty early and mid-career researchers to develop their research. He has successfully completed supervision of thirty-five Master’s students and six PhD theses as principal supervisor.

Suresh has worked at the Ford Motor Company Development Centres in Dunton, UK and Merknick, Germany, and implemented an integrated engineering platform for new vehicle development. This platform saved millions of pounds for vehicle development and eventually established the company as an agile establishment.  Suresh also worked as a Research Scientist at the Singapore Institute of Manufacturing Technology (SIMTech), an A*STAR (Agency for Science, Technology and Research) research institute in Singapore. Suresh was one of the pioneering researchers who was awarded S$1 million project funded by The Boeing Company, EADS and Singapore's Science and Engineering Research Council (SERC) under the auspices of the SERC Aerospace Research Programme.

Suresh is a member of the EPSRC Peer Review College and the working group developing the IEEE Standard for Prognostics and Health Management. Suresh is also a Knowledge Exchange co-ordinator in Cranfield.

Suresh has developed and teaches Data-Centric Engineering (IVHM) courses to Cranfield’s Master’s students. He also teaches “Availability, Maintainability, Risk and Resilience” courses. He has also supervised Master’s group and individual projects for these MSc courses. Suresh has served as the external examiner for a dozen PhD theses.

Suresh is an associate editor for IEEE Transactions on Power Electronics – Special Issue on Robust Design and Reliability in Power Electronics. He is a member of the Editorial Board of Microelectronics Reliability – Special Issue on Reliability of Power Electronics.

Research opportunity

AI-Optimised Maintenance Paradigm for Aircraft Systems

https://www.cranfield.ac.uk/research/phd/ai-optimised-maintenance-paradigm-for-aircraft-systems-phd

Reliability and Health Monitoring of Power Electronics

 https://www.cranfield.ac.uk/research/phd/reliability-and-health-monitoring-of-power-electronics-phd

Digital Twins in Condition Monitoring for Aerospace Systems

 https://www.cranfield.ac.uk/research/phd/digital-twins-in-condition-monitoring-for-aerospace-systems-phd

IoT based Maintenance and Asset Management

https://www.cranfield.ac.uk/Home/Research/PhD/IoT based Maintenance and Asset Management PhD


Current activities

Suresh’s research interest is in Data-Centric Engineering and Digital Twins for Intelligent Systems. Suresh focuses on Sensory Systems, Advanced Reasoners, Artificial Intelligence, Predictive Capabilities and Decision-Making for Intelligent Systems which demonstrate self-health awareness, operational resilience, failure recovery, system re-configurability, and end-of-life prediction.  These real-time data-centric smart elements will enable systems to adapt their operations and performance to environments that are complex, rapidly changing, and incompletely understood.

These adaptive intelligent systems will provide health management capability for the aerospace, automotive, rail, infrastructure and energy sectors. Adaptive Intelligent systems for self-health awareness will play an ever-increasing role in the above-mentioned industries, from design to manufacture, through-life engineering and end-of-life disposal of these assets. These Adaptive intelligent systems will also enable industry to realise their Industry 4.0 ambitions.

Suresh has developed data centric engineering concepts in industry-led projects funded by The Boeing Company, Rolls-Royce, Thales, BAE Systems and Meggitt. He is also a principal investigator on the EU-FP7 Rep-AIR project, employing data-centric engineering and digital twin concepts together with Additive Manufacturing to future repair and maintenance for the aerospace industry (https://www.theengineer.co.uk/ten-minutes-with-an-expert-in-additive-manufacturing-for-aircraft-maintenance/).

Suresh, as a principal investigator, has recently received more than half a million pounds in funding from Innovate UK and Airbus for exploring Data-centric Engineering and Digital Twin concepts for Future Landing Gear platforms.

Suresh has developed a data-centric platform for health monitoring of power electronics modules and devices. This platform not only considers real-time information from power electronics modules but also physics-of-failure data, highly-accelerated life test data, and various environmental conditions. Suresh is exploring a ground base data-centric system to provide advance failure warnings for automotive, aerospace, rail, power and energy customers. He is working with The Manufacturing Technology Centre, Ansty, to set up this capability.

Suresh has also received funding from the Northern Territory Government, Australia for developing Cost-Effective Maintenance of Remotely-Operated Hybrid Mini-Grid Systems (http://www.cdu.edu.au/newsroom/renewable-energy-research-development-projects).

Suresh currently also works in DARTeC (https://www.cranfield.ac.uk/centres/digital-aviation-research-and-technology-centre) to advance his Data-Centric Engineering and Digital Twins for Intelligent Systems research for future aviation.

Clients

  • Thales Group
  • Meggitt Systems
  • The Boeing Company
  • Airbus Group
  • Network Rail
  • Embraer
  • BAE Systems
  • Rolls-Royce
  • MOD
  • DSTL
  • EPSRC
  • Lufthansa Technik AG
  • Western Power Distribution
  • Safran

Publications

Articles In Journals

Conference Papers

Books

  • Cubillo A, Perinpanayagam S., Rodriguez M, Collantes I & Vermeulen J. (2016) Prognostics Health Management System Based on Hybrid Model to Predict Failures of a Planetary Gear Transmission. In: Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2015. Niggemann, Oliver, Beyerer, Jürgen (ed.), Berlin: Springer- Verlag, p. 33-44.
  • Suresh Perinpanayagam (2013) Sensor, Instrumentation and Signal Processing. In: Integrated Vehicle Health Management: The Technology. Ian K. Jennions (ed.), SAE International, p. 5-25.
  • Walker R, Perinpanayagam S & Jennions I. (2012) Simulating Unbalance for Future IVHM Applications. In: Topics in Model Validation and Uncertainty Quantification, Volume 4 Proceedings of the 30th IMAC, A Conference on Structural Dynamics, 2012. T. Simmermacher, S. Cogan, L.G. Horta, R. Barthorpe (ed.), Springer, p. 141-148.