Dr Suresh Perinpanayagam

CEng, DIC, PhD

Senior Lecturer in Intelligent Systems

IVHM Centre

Contact Dr Suresh Perinpanayagam

Tel: +44 (0) 1234 750111 x2377
Email: suresh.nayagam@cranfield.ac.uk
ORCID

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 Integrated Vehicle Health Management (IVHM) Centre / DARTeC (https://www.cranfield.ac.uk/centres/digital-aviation-research-and-technology-centre). Suresh’s expertise is in Data-Centric Engineering, Digital Twins & High-Fidelity Simulation, and Artificial Intelligence (AI) for Intelligent Systems.

Suresh’s research group is one of the pioneering groups working with multinational engineering companies with large data sets, building algorithms to pair data-centric engineering models optimally with digital twins to achieve enhanced real-time and dynamic insight into complex future systems, including autonomous and connected systems, more/all-electric platforms and network-centric systems. These smart solutions are aimed at fostering global efforts to ensure implementation of environmentally-friendly technologies for intelligent decision-making, controls and resilience.

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 has established an international profile and was recently 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 data-centric engineering platform for new vehicle design and 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 a S$1.2 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 for introducing Industry 4.0 NDT inspection concepts for aircraft maintenance.

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 (https://www.cranfield.ac.uk/courses/taught/aerospace-vehicle-design). He also teaches “Availability, Maintainability, Risk and Resilience” courses for the Maintenance Engineering and Asset Management MSc Courses (https://www.cranfield.ac.uk/courses/taught/maintenance-engineering-and-asset-management). 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 opportunities

Suresh is currently recruiting in -Data-Centric Engineering, Digital Twins & High-Fidelity Simulation, and Artificial Intelligence (AI).

Post-Doc Opportunities: Top-quality motivated fellowship applicants (RAEng, UKRI, etc), please send a detailed CV and your top 1-2 papers for a discussion.

PhD Opportunities:

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

Visiting Fellows/ PhD Students: who are interested in Data-Centric Engineering and Digital Twin research with a clear research plan.

Current activities

Suresh’s research interest is in Data-Centric Engineering, Digital Twins and AI for Intelligent Systems.

Suresh’s data-centric engineering research focuses on leveraging the intersection of engineering and data sciences to transform traditional system design, operation, and functional behaviour analytics into optimal cross-sectional analysis of systems for improved robustness and resilience.

Suresh’s digital twinning and high-fidelity simulation research uses real-time data and other highly-representative sensory sources for enabling learning, reasoning, predicting and dynamically recalibrating for improved decision-making. This encompasses the development of cutting-edge digital twin technologies to realise improved operational efficiency and achieving swift, accurate, meaningful, and highly-effective responses and will be the defining stratagems of systems’ design, control approaches, resilience, through-life supportability, and end-of-life prediction.

Suresh’s AI research focuses on inference acceleration from Artificial Narrow Intelligence to Artificial Super Intelligence for engineering systems and being able to develop AI-optimised algorithms and technologies with the level of explainability and trust that needs to be provided for safety-critical engineering systems.

Suresh’s long-term vision is to create every part of the engineering system with its own adaptive intelligence and connectivity capability so that it is aware of its own performance and state of health, and works effectively with other systems to complete a function even if it is not in an optimal state. The 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. Suresh envisages future engineering systems with self-health awareness, system re-configurability, operational resilience, and failure recovery capabilities.

These adaptive Intelligent systems for self-health awareness will play an ever-increasing role in aerospace, automotive, rail, infrastructure and energy 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 is currently the Principal Investigator for Data-Centric Engineering and Digital Twin Concepts for Future Landing Gear platform research activities at Cranfield University with Airbus. He has received half a million pounds’ worth of funding in funding from Innovate UK and Airbus.

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 (https://www.theengineer.co.uk/electric-flight-stumbling-blocks/). 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).

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

Articles In Journals

Conference Papers

Sutthithatip S, Perinpanayagam S, Aslam S & Wileman A (2021) Explainable AI in aerospace for enhanced system performance. In: 2021 AIAA/IEEE 40th Digital Avionics Systems Conference (DASC), San Antonio, 3-7 October 2021.
El Mir H & Perinpanayagam S (2021) Certification approach for physics informed machine learning and its application in landing gear life assessment. In: 2021 AIAA/IEEE 40th Digital Avionics Systems Conference (DASC), San Antonio, 3-7 October 2021.
Cubillo A & Perinpanayagam S (2016) Challenges of redesigning a planetary transmission to be made by additive manufacturing. In: 14th International Conference on Manufacturing Research (ICMR 2016), Loughborough, 6-8 September 2016.
Perinpanayagam S. (2016) Prognostics Health Management of Hybrid Powertrains. In: Future Powertrain Conference, The National Motorcycle Museum, Coventry Road, Bickenhill, Solihull, West Midlands. B92 0EJ, 24-25 February 2016.
Choudhary R, Perinpanayagam S & Butans E (2016) Design and analysis of communication model for implementation of CBM based on OSA-CBM framework. In: 2016 IEEE Aerospace Conference, Yellowstone Conference Center, Big Sky, Montana, 5-12 March 2016.
Perinpanayagam S (2015) Integrated Vehicle Health Management (IVHM) for Aircraft Electronics/Power Electronics. In: 25th European Symposium on Reliability of Electron Devices, Failure Physics and Analysis, Toulouse, 5-9 October 2015.
Buddhi Arachchige, Suresh Perinpanayagam & Sreenuch Tarapong (2015) Effect of Uncertainties On the Health Monitoring of Aircraft Engines. In: ASME 2015 Verification and Validation Symposium, Las Vegas, NV, 11-15 May 2015.
Cubillo A, Perinpanayagam S, Rodriguez M, Collantes I & Vermeulen J. (2015) Physics-Based IVHM Systems for Predicting the RUL of an Aircraft Planetary Gear Transmission. In: 5th EASN Workshop on Aerostructures, Manchester, 2-4 September 2015.
Alghassi A, Soulatiantork P, Samie M, Perinpanayagam S & Faifer M (2015) Reliability enhance powertrain using fuzzy knowledge base prognostics model. In: 2015 17th European Conference on Power Electronics and Applications, Geneva, 8-10 September 2015.
Alghassi A, Soulatiantork P, Samie M, Perinpanayagam S & Faifer M (2015) Relibility enhance powertrain using ANFIS base prognostics model. In: 2015 IEEE Conference on Prognostics and Health Management (PHM), Austin, TX, 22-25 June 2015.
Choudhary R, Perinpanayagam S & Butans E (2015) IVHM System Integration Network Performance Analysis using different Middleware Technologies and Network Structure. In: ICN 2015, The Fourteenth International Conference on Networks, Barcelona, 19-24 April 2015.
Samie M, Alghassi A & Perinpanayagam S (2015) Unified IGBT prognostic using natural computation. In: IEEE International Digital Signal Processing (DSP), Singapore, 21-24 July 2015.
Samie M, Perinpanayagam S, Alghassi A, Motlagh A & Kapetanios E (2014) Reliability enhanced EV using pattern recognition techniques. In: 2014 IEEE International Electric Vehicle Conference (IEVC), Florence, 17-19 December 2014.
Esperon Miguez M & Perinpanayagam S (2014) Merging Additive Manufacturing and Integrated Vehicle Health Management. In: 9th AIRTEC 2014 International Congress, Frankfurt, 28-30 October 2014.
Cubillo A, Perinpanayagam S & Esperon Miguez M. (2014) Multiphysics-based Model for Prognostics in a Planetary Transmission. In: Annual Conference of the Prognostics and Health Management Society, Fort Worth, Texas, 29 September - 2 October 2014.
Samie M, Motlagh AMS, Alghassi A, Perinpanayagam S & Kapetanios E (2014) Realising duality principle for prognostic models. In: The Ninth International Multi-Conference on Computing in the Global Information Technology, Sevilla, 22-26 June 2014.
Walker RB, Perinpanayagam S & Jennions IK (2013) Localizing unbalance faults in rotating machinery. In: ASME Turbo Expo 2013: Turbine Technical Conference and Exposition, (GT2013), San Antonio, Texas, 3 June 2013.
Alghassi A, Perinpanayagam S & Jennions IK (2013) Prognostic capability evaluation of power electronic modules in transportation electrification and vehicle systems. In: 15th European Conference on Power Electronics and Applications, 2013 , Lille, 2-6 September 2013.
Alghassi A, Perinpanayagam S & Jennions IK (2013) A simple state-based prognostic model for predicting remaining usefullLife of IGBT power module. In: 15th European Conference on Power Electronics and Applications, 2013 , Lille, 2-6 September 2013.
Walker R, Perinpanayagam S & Jennions I (2012) Simulating unbalance for future IVHM applications. In: 30th International Modal Analysis Conference (IMAC) 2012, Jacksonville, FL, 30 January - 2 February 2012.
Walker R, Perinpanayagam S & Jennions IK (2012) Unbalance Localisation using High Fidelity Simulations. In: The Ninth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies , London, 12 June 2012.
Walker RB, Perinpanayagam S & Jennions IK (2012) Localizing common faults for improved aero engine maintenance. In: ASME 2012 International Mechanical Engineering Congress and Exposition (IMECE2012), Houston, TX, 9-15 November 2012.
Sirigineedi G, Perinpanayagam S & Jennions IK (2012) Neural network based classification of unbalances in rotating machinery. In: 9th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2012 (CM 2012 AND MFPT 2012), London, 12 June 2012.
Bhambra JK, Perinpanayagam S & Jennions I (2011) Electronic prognostics and health management of aircraft avionics using digital power converters. In: Annual Conference of the Prognostics and Health Management Society 2011, Montreal, 25 September 2011.
Bhambra JK, Perinpanayagam S, Taurand C & Peyrat S (2011) Health monitoring of POL converter using digital PWM controller. In: 2011 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics & Drives, Bologna, 5-8 September 2011.
Walker R, Perinpanayagam S & Jennions I (2011) Physics-Based Simulation for Health Management of Rotating Machinery. In: 8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies Conference, Cardiff, 20 June 2011.
Perinpanayagam S & Ewins DJ (2004) Test strategy for component modal test for model validation. In: Proceedings of ISMA 2004: International Conference on Noise and Vibration Engineering, Katholieke Univ Leuven, 20-22 September 2004.
Perinpanayagam S, Robb D, Ewins DJ & Barragan JM (2004) Non-linearities in an aero-engine structure: From test to design. In: Proceedings of the 2004 International Conference on Noise and Vibration Engineering, ISMA;, Leuven, 20-22 September 2004.
S. Perinpanayagam & D. J. Ewins (2003) Free-Free, Fixed or Other Test Boundary Conditions for the Best Modal Test?. In: IMAC-XXI: Conference & Exposition on Structural Dynamics, Kissimmee, Florida, 3 February 2003.
Wileman AJ & Perinpanayagam S A Prognostic Framework For Electromagnetic Relay Contacts. In: 2nd European Conference of the Prognostics and Health Management Society, Nantes, 8 July 2014.
Portoles L, Jordan O, Jordan L, Uriondo A, Esperon-Miguez M & Perinpanayagam S Additive Manufacturing: Certification in the aircraft market and a qualification procedure for metal parts. In: 5th EASN Conference, Manchester, 2 September 2015.

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.