Contact Dr Yiguang Li
- Tel: +44 (0) 1234 754723
- Email: i.y.li@cranfield.ac.uk
- ORCID
Areas of expertise
- Computational Fluid Dynamics
- Gas Turbines & Propulsion
- Power Systems & Turbines
- Vehicle Health Management
Background
General Background:
Dr Yiguang Li is a Reader in Gas Turbine Performance and Diagnostics at the Centre for Propulsion and Thermal Power Engineering, School of Aerospace, Transport and Manufacturing, Cranfield University. He joined Cranfield as a member of research staff in 1999. His research interests are gas turbine performance and simulation, gas path condition monitoring, gas turbine combined cycles, combined heat and power, CFD applications in gas turbines, etc. He has 8 years of experience in gas turbine industry as a gas turbine performance engineer and more than20 years of experience in academic research, postgraduate teaching and Continuously Professional Development. He has published more than 50 journal papers and 70 conference papers. He is a Fellow of American Society of Mechanical Engineers (ASME) and a Fellow of Higher Education Academy (HEA). He is an ex-Associate Editor of ASME Journal of Engineering for Gas Turbines and Power. He was the past chair of the Cycle Innovations Committee (2011-2013) and the past chair of the Industrial and Co-Generation Committee of ASME Turbo Expo conference.
Education:
Dr Li obtained his BSc degree at Nanjing University of Aeronautics and Astronautics in 1984, MSc degree at Northwesten Polytechnical University in 1989, and PhD degree at Cranfield University in 2001. He was a visiting scholar for one year (1995-1996) at the Department of Mechanical Engineering, Glasgow University, Scotland.
Employment:
Dr Li was a gas turbine performance assistant engineer for 2 years (1984-1986) and a gas turbine performance engineer for 6 years (1989-1995). He joined Cranfield university in 1999 as a Research Officer. After several promotions, he has been a Reader in Gas Turbine Technology since 2018.
Awards:
ASME/IGTI Outstanding Service Award 2024.
ASME Turbo Expo Industrial and Cogeneration Committee Best Paper Award 2020 on paper 'Gas Path Diagnostics for Once-Through Steam Generator', ASME GT2019-90324, ASME Turbo Expo 2020, London, UK, June 2020.
ASME Turbo Expo Cycle Innovation Committee Best Paper Award 2012 on paper 'Creep Life Prediction for Aero Gas Turbine Hot Section Component Using Artificial Neural Network Approach', ASME GT2012-68856, ASME Turbo Expo 2012, Copenhagen, Denmark, 11-15 June 2012.
ASME Turbo Expo Cycle Innovation Committee Best Paper Award 2010 on paper 'Non-Linear Multiple Gas Turbine Off-Design Performance Adaptation Using a Genetic Algorithm', ASME Paper GT2010-22285.
ASME Turbo Expo Cycle Innovation Committee Best Paper Award 2008 on paper 'A Genetic Algorithm Approach to Estimate Performance Status of Gas Turbines', ASME Paper GT2008-50175.
Research opportunities
Potential research opportunities are in the area of gas turbine performance, gas path diagnostics and prognostics, life consumption monitoring, low emission combustors, combined cycle gas turbines, combined heat and power, CFD applications to gas turbines, application of Artificial Intelligence to gas turbine condition monitoring.
Current activities
Dr Li is the Director of Gas turbine group design training programmes. He is the Principle Investigation of the following research projects sponsored by gas turbine industry:
* Gas path diagnostics of steam turbines
* Gas Turbine diagnostics, prognostics and lifing
* Low emissions combustor designs
* Operation optimization of combined cycle power plant
* Heat recovery for CCGT powerplant using heat pump
* Gas turbine health monitoring
* Gas turbine lifing
* Diagnostics system development for a helicopter engine
Dr Li's research activities cover the following areas:
* Gas turbine performance
* Gas path diagnostics and prognostics
* Gas Turbine Lifing.
* Combined cycle gas turbines
* Combined heat and power
Led by Dr Li, digital twin software named Pythia for gas turbine performance and condition monitoring has been developed and continuously being upgraded since 2001. The software has been applied to industrial applications, research projects and postgraduate education. It has the following capabilities:
* Applicable to a wide Range of Gas Turbines: Industrial / Aero / Marine
* Design Point & Off Design performance (Environmental impact & part load) simulations
* Transient performance simulations
* Design-point and off-design performance adaptation
* Multiple Fuels
* Air bleeding & cooling
* Variable Geometry: Compressor IGV / Turbine NGV / Nozzle Area
* Customer component maps
* Engine Deterioration and measurement sample generations
* Gas path diagnostics using GPA/GA/Adaptive GPA
* Gas path prognostics
* Gas turbine creep life and LCF life consumption analysis and tracking
Led by Dr Li, a new professional development short course on "Gas turbine performance and condition monitoring" is available. The details can be found at https://www.cranfield.ac.uk/courses/short/aerospace/gas-turbine-performance-and-condition-monitoring
Clients
Dr Li's research and academic activities are associated with gas turbine and power generation industry, such as Manx Electricity Authority (MEA), Isle of Man in the UK, and other gas turbine industry.
Expert Committees and Professional Societies
Fellow of American Society of Mechanical Engineers (ASME) (since 2017)
Member of American Society of Mechanical Engineers (ASME) (2004-2017)
Fellow of Higher Education Academy (HEA) (since 2007)
Associate Editor of ASME Journal of Engineering for Gas Turbines and Power (2019-2021)
Member of Working Group 3 of ETIP SNET (since 2019)
Project Board Member of European Turbine Network (ETN) (2018-2020, 2024 - now)
Regional Expert (China) of Cranfield University (since 2016)
Reviewer of UK EPSRC research proposal
External PhD examiners to Queen Mary University London & Manchester University in the UK, University of Ferrara in Italy
Paper reviewer for more than 20 international journals and more than 6 international conferences
International Conference Contributions
Chair of Industrial and Cogeneration Committee of ASME Turbo Expo conference (2017-2019)
Vice-Chair of Industrial and Cogeneration Committee of ASME Turbo Expo conference (2015-2017)
Chair of Cycle Innovations Committee of ASME Turbo Expo conference (2011-2013)
Vice-Chair of Cycle Innovations Committee of ASME Turbo Expo conference (2009-2011)
Session organizer and chair of Control, Diagnostics and Instrumentation Committee of ASME Turbo Expo conference
Session organizer and chair of Condition Monitoring conference (2007-2008)
Publications
Articles In Journals
- Li Y-G & Liu Y. (2025). Off-design performance control and simulation for gas turbine engines with sequential combustors. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy
- da Mota Chiavegatto R & Li Y. (2023). Thrust rebalance to extend engine time on-wing with consideration of engine degradation and creep life consumption. Journal of Engineering for Gas Turbines and Power, 146(9)
- Liu Y, Mo D, Nalianda D, Li Y & Roumeliotis I. (2022). Review of more electric engines for civil aircraft. International Journal of Aeronautical and Space Sciences, 23(4)
- Li Z, Li Y-G & Sampath S. (2022). Aeroengine transient performance simulation integrated with generic heat soakage and tip clearance model. The Aeronautical Journal, 126(1302)
- Zhao J, Li Y-G & Sampath S. (2022). A hierarchical structure built on physical and data-based information for intelligent aero-engine gas path diagnostics. Applied Energy, 332(February)
- Zhao J, Li Y & Sampath S. (2022). Convolutional neural network denoising autoencoders for intelligent aircraft engine gas path health signal noise filtering. Journal of Engineering for Gas Turbines and Power, 145(6)
- Chen Y-Z, Tsoutsanis E, Xiang H-C, Li Y-G & Zhao J-J. (2022). A dynamic performance diagnostic method applied to hydrogen powered aero engines operating under transient conditions. Applied Energy, 317(July)
- Chen Y-Z, Li Y-G, Tsoutsanis E, Newby MA & Zhao X-D. (2021). Techno-economic evaluation and optimization of CCGT power plant: a multi-criteria decision support system. Energy Conversion and Management, 237(June)
- Alozie O, Li Y, Pilidis P, Liu Y, Korakianitis T, .... (2021). An Integrated Principal Component Analysis, Artificial Neural Network and Gas Path Analysis Approach for Multi-Component Fault Diagnostics of Gas Turbine Engines.
- Alozie O, Li Y-G, Diakostefanis M, Wu X, Shong X, .... (2020). Assessment of degradation equivalent operating time for aircraft gas turbine engines. The Aeronautical Journal, 124(1274)
- Liu Y, Sun X, Sethi V, Li Y-G, Nalianda D, .... (2020). Development and application of a preliminary design methodology for modern low emissions aero combustors. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 235(4)
- Yang S-B, Wang X, Wang H-N & Li Y-G. (2019). Sliding mode control with system constraints for aircraft engines. ISA Transactions, 98
- Wan Yahya MZ, Azami MH, Savill M, Li Y-G, Khan SA, .... (2019). Modelling of a three-shaft high-bypass-ratio engine performance and emission prediction using hydrogen fuel. International Journal of Innovative Technology and Exploring Engineering, 8(6)
- Alozie O, Li Y-G, Wu X, Shong X & Ren W. (2019). An adaptive model-based framework for prognostics of gas path faults in aircraft gas turbine engines. International Journal of Prognostics and Health Management, 10(2)
- Chen Y-Z, Li Y-G & Newby MA. (2019). Performance simulation of a parallel dual-pressure once-through steam generator. Energy, 173
- Fentaye A, Ul-Haq Gilani SI, Baheta AT & Li Y-G. (2018). Performance-based fault diagnosis of a gas turbine engine using an integrated support vector machine and artificial neural network method. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 233(6)
- Saturday EG, Li Y & Newby MA. (2017). Creep-life usage analysis and tracking for industrial gas turbines. Journal of Propulsion and Power, 33(5)
- Tsoutsanis E, Li Y-G, Pilidis P & Newby MA. (2017). Non-linear model calibration for off-design performance prediction of gas turbines with experimental data. The Aeronautical Journal, 121(1245)
- Liu Y, Sun X, Sethi V, Nalianda D, Li Y-G, .... (2017). Review of modern low emissions combustion technologies for aero gas turbine engines. Progress in Aerospace Sciences, 94
- Azami MH, Savill M & Li YG. (2017). Comparison of aircraft engine performance and emission analysis using alternative fuels. International Journal of Sustainable Aviation, 3(1)
- Savill M, Li YG & Azami MH. (2017). Comparison of aircraft engine performance and emission analysis using alternative fuels. International Journal of Sustainable Aviation, 3(1)
- Wang C, Li Y & Yang BY. (2016). Transient Performance Simulation of Aircraft Engine Integrated with Fuel and Control Systems. Applied Thermal Engineering, 114
- Ogiriki EA, Li Y & Nikolaidis T. (2016). Prediction and analysis of impact of thermal barrier coating oxidation on gas turbine creep life. Journal of Engineering for Gas Turbines and Power, 138(12)
- Huang K-M, Li Y-G, Zhang W, Feng X & Cai J-B. (2015). Performance degradation and component deterioration degree estimation for a turboshaft engine [Chinese language]. Hangkong Dongli Xuebao/Journal of Aerospace Power, 30(11)
- Abdul Ghafir MF, Li YG & Wang L. (2014). Creep Life Prediction for Aero Gas Turbine Hot Section Component Using Artificial Neural Networks. Journal of Engineering for Gas Turbines and Power, 136(3)
- Ntantis EL & Li YG. (2013). The Impact of Measurement Noise in GPA Diagnostic Analysis of a Gas Turbine Engine. Int. J. Turbo Jet-Engines, 30(4)
- Li YG, Abdul Ghafir MF, Wang L, Singh R, Huang K, .... (2012). Improved Multiple Point Nonlinear Genetic Algorithm Based Performance Adaptation Using Least Square Method. Journal of Engineering for Gas Turbines and Power, 134(3)
- Li YG & Korakiantis T. (2011). Nonlinear Weighted-Least-Squares Estimation Approach for Gas-Turbine Diagnostic Applications. Journal of Propulsion and Power, 27(2)
- Li YG, Ghafir MFA, Wang L, Singh R, Huang K, .... (2011). Nonlinear Multiple Points Gas Turbine Off-Design Performance Adaptation Using a Genetic Algorithm. Journal of Engineering for Gas Turbines and Power, 133(7)
- Wang L, Li YG, Abdul Ghafir MF & Swingler A. (2011). A Rough Set-based gas turbine fault classification approach using enhanced fault signatures. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 225(8)
- Jasmani MS, Li Y-G & Ariffin Z. (2011). Measurement Selections for Multicomponent Gas Path Diagnostics Using Analytical Approach and Measurement Subset Concept. Journal of Engineering for Gas Turbines and Power, 133(11)
- Li YG & Pilidis P. (2010). GA-based design-point performance adaptation and its comparison with ICM-based approach. Applied Energy, 87(1)
- Li YG & Nilkitsaranont P. (2009). Gas turbine performance prognostic for condition-based maintenance. Applied Energy, 86(10)
- Li YG & Pilidis P. (2009). Nonlinear design-point performance adaptation approaches and their comparisons for gas turbine applications. Frontiers of Energy and Power Engineering in China, 3(4)
- Li YG. (2007). A GPA diagnostic system for aeroengine applications. Hangkong Dongli Xuebao/Journal of Aerospace Power, 22(6)
- Li YG & Hales RL. (2003). Steady and Dynamic Performance and Emissions of a Variable Geometry Combustor in a Gas Turbine Engine. Journal of Engineering for Gas Turbines and Power, 125(4)
- Li YG. (2003). A gas turbine diagnostic approach with transient measurements. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 217(2)
- Li YG & Tourlidakis A. (2002). Simulating the Flow Field in a Rear Stage of a Multistage Axial Flow Compressor. International Journal of Turbo and Jet Engines, 19(1-2)
- Li YG. (2002). Performance-analysis-based gas turbine diagnostics: A review. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 216(5)
- Li YG, Tourlidakis A & Elder RL. (2001). A Repeating Stage Model in Flow Predictions of Axial Flow Compressor Rear Stages. International Journal of Turbo and Jet Engines, 18(3)
- Li YG, Maccallum NRL & Pilidis P. (2001). Pressure Waves in Volume Effect in Gas-Turbine Transient-Performance Models. Journal of Propulsion and Power, 17(3)
- Li YG & Tourlidakis A. (2001). Influence of deterministic stresses on flow prediction of a low-speed axial flow compressor rear stage. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 215(5)
