Contact Professor Ian Jennions
- Tel: +44 (0) 7590 749 222
- Email: i.jennions@cranfield.ac.uk
- ORCID
Areas of expertise
- Computational Fluid Dynamics
- Gas Turbines & Propulsion
- Power Systems & Turbines
- Vehicle Health Management
Background
Ian's career spans over 40 years, working mostly for a variety of gas turbine companies. He has a Mechanical Engineering degree and a PhD in CFD both from Imperial College, London. He has worked for Rolls-Royce (twice), General Electric and Alstom in a number of technical roles, gaining experience in aerodynamics, heat transfer, fluid systems, mechanical design, combustion, services and IVHM. Ian moved to Cranfield in July 2008 as Professor and Director of the newly formed IVHM Centre, and ran the Centre until July 2020. The Centre has been funded by a number of industrial companies, including Boeing, BAE Systems, Thales, Meggitt, MOD and Alstom Transport. He has led the development and growth of the Centre, in research and education, since its inception. The Centre offers an IVHM short course each year and has offered an IVHM MSc. A new Head of Centre was appointed in July 2020 and Ian became the Centre's Technical Director. Ian is on the editorial Board for the International Journal of Condition Monitoring, a Director of the PHM Society, Vice-chairman of SAE's IVHM Steering Group, contributing member of the SAE HM-1 IVHM committee, a Chartered Engineer and a Fellow of IMechE, RAeS and ASME. He is the editor of five recent SAE books: 1. IVHM - Perspectives on an Emerging Field; 2. IVHM - Business Case Theory and Practise; 3. IVHM - the Technology; 4. IVHM - Essential Reading; 5. IVHM - Implementation and Lessons Learned and a co-author of the book: 'No Fault Found - The Search for the Root Cause'.
Current activities
Running the Integrated Vehicle Health Management (IVHM) Centre and participating in the No Fault Found (NFF) project of the Through-life Engineering Services Centre. Total staff of around 20 people
The Environmental Control System (ECS) in an aircraft keeps the air in the passenger cabin at the right temperature and humidity. With Boeing and BAE Systems we are trying to understand the way in which such systems degrade and what sensors and data are necessary to effectively monitor them. The work involves both physical and functional modelling as well as significant experimentation and design process interaction
The Alstom Health Hub. Aimed at providing information on the degradation of train brakes, wheels and pantograph, also on doors and external lines. The data is collected as a train comes into a maintenance yard and then we run prognostic algorithms to determine when components need to be changed. This work is done in conjunction with Critical Software, to produce a production system for Alstom
Current active research includes: IVHM and safety, knowledge management, bearing lubrication, intermittent fault detection, UAV health detection, and power converter prognostics
Previous projects have involved: IVHM architecture, OSA-CBM implementation, IVHM for legacy aircraft, hybrid prognostics, benchmark prognostic dataset from a filter clogging rig, energy harvesting, rotor dynamic balancing, health management development process, benchmark diagnostic dataset from a fuel rig, IVHM design system, on-board / off-board optimisation, IVHM requirements, business case, health assessment of gears, 11kV power distribution simulation, and acoustic sensors for SHM.
Clients
- Boeing Co
- BAE Systems PLC
- Meggit PLC
- Thales SA
- Alstom SA
- Rolls-Royce Holdings PLC
- Ministry of Defence
- National Grid PLC
- Safran SA
- Novartis AG
Publications
Articles In Journals
- Li J, King S & Jennions IK. (2025). Intelligent multi-fault diagnosis for a simplified aircraft fuel system. Algorithms, 18(2)
- Jia L, Ezhilarasu CM & Jennions IK. (2025). Fault diagnosis across aircraft systems using image recognition and transfer learning. Applied Sciences, 15(6)
- Suslu B, Ali F & Jennions IK. (2025). Normalised Diagnostic Contribution Index (NDCI) Integration to Multi Objective Sensor Optimisation Framework (MOSOF)—An Environmental Control System Case. Sensors, 25(9)
- Kwakye AD, Jennions IK & Ezhilarasu CM. (2024). Platform health management for aircraft maintenance – a review. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 238(3)
- Ahmed U, Ali F & Jennions I. (2023). Acoustic monitoring of an aircraft auxiliary power unit. ISA Transactions, 137
- Inyang UI, Petrunin I & Jennions I. (2023). Diagnosis of multiple faults in rotating machinery using ensemble learning. Sensors, 23(2)
- Chowdhury SH, Ali F & Jennions IK. (2023). Development of a novel ground test facility for aircraft environmental control system. Journal of Thermal Science and Engineering Applications, 15(8)
- Mattuvarkuzhali Ezhilarasu C, Angus J & Jennions IK. (2023). Toward the aircraft of the future: a perspective from consciousness. Journal of Artificial Intelligence and Consciousness, 10(2)
- Chowdhury SH, Ali F & Jennions IK. (2023). A review of aircraft environmental control system simulation and diagnostics. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 237(11)
- Iyaghigba SD, Ali F & Jennions IK. (2023). A review of diagnostic methods for hydraulically powered flight control actuation systems. Machines, 11(2)
- Li J, King S & Jennions I. (2023). Intelligent fault diagnosis of an aircraft fuel system using machine learning - a literature review. Machines, 11(4)
- Suslu B, Ali F & Jennions IK. (2023). Understanding the role of sensor optimisation in complex systems. Sensors, 23(18)
- Jia L, Ezhilarasu CM & Jennions IK. (2023). Cross-condition fault diagnosis of an aircraft environmental control system (ECS) by transfer learning. Applied Sciences, 13(24)
- Dangut MD, Jennions IK, King S & Skaf Z. (2022). Application of deep reinforcement learning for extremely rare failure prediction in aircraft maintenance. Mechanical Systems and Signal Processing, 171(May)
- Chowdhury SH, Ali F & Jennions IK. (2022). Boeing 737-400 passenger air conditioner control system model for accurate fault simulation. Journal of Thermal Science and Engineering Applications, 14(9)
- Dangut MD, Jennions IK, King S & Skaf Z. (2022). A rare failure detection model for aircraft predictive maintenance using a deep hybrid learning approach. Neural Computing and Applications, 35(4)
- Dangut MD, Skaf Z & Jennions IK. (2022). Handling imbalanced data for aircraft predictive maintenance using the BACHE algorithm. Applied Soft Computing, 123(July)
- Ahmed U, Ali F & Jennions I. (2022). Signal processing of acoustic data for condition monitoring of an aircraft ignition system. Machines, 10(9)
- Ahmed U, Ali F & Jennions IK. (2022). Evaluation of aircraft auxiliary power unit near-field acoustics for condition monitoring. IEEE Access, 10
- Inyang UI, Petrunin I & Jennions I. (2022). A composite learning approach for multiple fault diagnosis in gears. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 238(1)
- Jennions I & Ali F. (2022). Evaluation of component level degradation in the Boeing 737-800 air cycle machine. Journal of Thermal Science and Engineering Applications, 15(3)
- Ezhilarasu CM, Skaf Z & Jennions IK. (2021). A generalised methodology for the diagnosis of aircraft systems. IEEE Access, 9
- Jennions I & Ali F. (2021). Assessment of heat exchanger degradation in a Boeing 737-800 environmental control system . Journal of Thermal Science and Engineering Applications, 13(6)
- Ahmed U, Ali F & Jennions I. (2021). A review of aircraft auxiliary power unit faults, diagnostics and acoustic measurem. Progress in Aerospace Sciences, 124(July)
- Bozdal M, Samie M & Jennions IK. (2021). WINDS: A Wavelet-based Intrusion Detection System for Controller Area Network (CAN). IEEE Access, 9
- Soomro IA & Samie M. (2021). Reduced pin-count testing, 3D SICs, time division multiplexing, test access mechanism, simultaneous bidirectional signaling. IEEE Access, 9
- Inyang U, Petrunin I & Jennions I. (2021). Health condition estimation of bearings with multiple faults by a composite learning-based approach. Sensors, 21(13)
- Skliros C, Ali F & Jennions I. (2021). Fault simulations and diagnostics for a Boeing 747 Auxiliary Power Unit. Expert Systems with Applications, 184(December)
- Ezhilarasu CM & Jennions I. (2021). Development and Implementation of a Framework for Aerospace Vehicle Reasoning (FAVER). IEEE Access, 9
- Ahmed U, Ali F & Jennions IK. (2021). Development of a far-field noise estimation model for an aircraft auxiliary power unit. IEEE Access, 9
- Skliros C, Ali F, King S & Jennions I. (2021). Aircraft system-level diagnosis with emphasis on maintenance decisions. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 236(6)
- Ezhilarasu CM & Jennions IK. (2020). A system-level failure propagation detectability using ANFIS for an aircraft electrical power system. Applied Sciences, 10(8)
- Soomro IA, Samie M & Jennions IK. (2020). Test time reduction of 3D stacked ICs using ternary coded simultaneous bi-directional signaling in parallel test ports. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 39(12)
- Randa M, Samie M & Jennions IK. (2020). Delay-based true random number generator in sub-nanomillimeter IoT devices. Electronics, 9(5)
- Bozdal M, Samie M, Aslam S & Jennions I. (2020). Evaluation of CAN bus security challenges. Sensors, 20(8)
- Skliros C, Ali F & Jennions I. (2020). Experimental Investigation and Simulation of a Boeing 747 Auxiliary Power Unit. Journal of Engineering for Gas Turbines and Power, 142(8)
- Jennions I, Ali F, Miguez ME & Escobar IC. (2020). Simulation of an aircraft environmental control system. Applied Thermal Engineering, 172
- Dangut MD, Skaf Z & Jennions IK. (2020). An integrated machine learning model for aircraft components rare failure prognostics with log-based dataset. ISA Transactions, 113
- Aslam S, Jennions IK, Samie M, Perinpanayagam S & Fang Y. (2020). Ingress of threshold voltage-triggered hardware trojan in the modern FPGA fabric–detection methodology and mitigation. IEEE Access, 8
- Esperon Miguez M, Jennions IK, Escobar IC & Hanov N. (2020). Simulating faults in a Boeing 737-200 environmental control system using a thermodynamic model. International Journal of Prognostics and Health Management, 10(2)
- Ezhilarasu CM, Skaf Z & Jennions IK. (2019). The application of reasoning to aerospace Integrated Vehicle Health Management (IVHM): Challenges and opportunities. Progress in Aerospace Sciences, 105
- Nsugbe E, Starr A, Jennions I & Ruiz-Carcel C. (2019). Estimation of online particle size distribution of a particle mixture in free fall with acoustic emission. Particulate Science and Technology, 37(8)
- Eker ÖF, Camci F & Jennions IK. (2019). A new hybrid prognostic methodology. International Journal of Prognostics and Health Management, 10(2)
- Maindze A, Skaf Z & Jennions I. (2019). Towards an Enhanced Data- and Knowledge Management Capability: A Data Life Cycle Model Proposition for Integrated Vehicle Health Management. Annual Conference of the PHM Society, 11(1)
- Esperon Miguez M, Uriondo A, Rodriguez J, Luque B & Jennions IK. (2019). A feasibility study on the implementation of visibility algorithms for fault diagnosis in aircraft fuel systems. International Journal of Prognostics and Health Management, 10(1)
- Nsugbe E, Ruiz Carcel C, Starr A & Jennions IK. (2018). Estimation of fine and oversize particle ratio in a heterogeneous compound with acoustic emissions. Sensors, 18(3)
- Grubic T & Jennions IK. (2018). Do outcome-based contracts exist? The investigation of power-by-the-hour and similar result-oriented cases. International Journal of Production Economics, 206
- Skliros C, Miguez ME, Fakhre A & Jennions I. (2018). A review of model based and data driven methods targeting hardware systems diagnostics. Diagnostyka, 20(1)
- Grubic T & Jennions IK. (2017). Remote monitoring technology and servitised strategies – factors characterising the organisational application. International Journal of Production Research, 56(6)
- Lin Y, Zakwan S & Jennions IK. (2017). A Bayesian approach to fault identification in the presence of multi-component degradation. International Journal of Prognostics and Health Management, 8(1)
- Nsugbe E, Starr AG, Foote P, Ruiz Carcel C & Jennions IK. (2016). Size differentiation of a continuous stream of particles using acoustic emissions. Journal of the Acoustical Society of America, 139(4_Supplement)
- Kaur Mann J, Perinpanayagam S & Jennions IK. (2016). Aging detection capability for switch-mode power converters. IEEE Transactions on Industrial Electronics, 63(5)
- Syed WA, Perinpanayagam S, Samie M & Jennions IK. (2016). A novel intermittent fault detection algorithm and health monitoring for electronic interconnections. IEEE Transactions on Components, Packaging and Manufacturing Technology, 6(3)
- Jennions IK, Niculita O & Esperon Miguez M. (2016). Integrating IVHM and Asset Design. International Journal of Prognostics and Health Management, 7(2)
- Jennions IK, Camci F & Eker ÖF. (2015). Physics-based prognostic modelling of filter clogging phenomena. Mechanical Systems and Signal Processing, 75
- Sreenuch T & Jennions I. (2015). Design and Evaluation of Plug-and-Play Enabled IVHM Architecture. SAE International Journal of Aerospace, 8(1)
- Khan S, Phillips P & Jennions IK. (2015). Studying the impact of intermittent variations using sensitivity analysis. International Journal of Condition Monitoring, 5(3)
- Ahmad SW, Perinpanayagam S, Jennions IK & Samie M. (2015). A Carrier Signal Approach for Intermittent Fault Detection and Health Monitoring for Electronics Interconnections System. International Journal of Advanced Computer Science and Applications, 6(12)
- Sreenuch T, Tsourdos A & Jennions IK. (2014). Software Framework for Prototyping Embedded Integrated Vehicle Health Management Applications. Journal of Aerospace Information Systems, 11(2)
- Walker RB, Vayanat R, Perinpanayagam S & Jennions IK. (2014). Unbalance localization through machine nonlinearities using an artificial neural network approach. Mechanism and Machine Theory, 75
- Jennions IK. (2014). Introduction. Integrated Vehicle Health Management: Implementation and Lessons Learned
- Sreenuch T, Tsourdos A & Jennions IK. (2013). Distributed embedded condition monitoring systems based on OSA-CBM standard. Computer Standards & Interfaces, 35(2)
- Walker R, Perinpanayagam S & Jennions IK. (2013). Rotordynamic Faults: Recent Advances in Diagnosis and Prognosis. International Journal of Rotating Machinery, 2013(1)
- Khan S, Phillips P, Jennions IK & Hockley C. (2013). No Fault Found events in maintenance engineering Part 1: current trends, implications and organizational practices. Reliability Engineering & System Safety, 123
- Esperon-Miguez M, John P & Jennions IK. (2013). A review of Integrated Vehicle Health Management tools for legacy platforms: Challenges and opportunities. Progress in Aerospace Sciences, 56
- Khan S, Phillips P, Hockley C & Jennions IK. (2013). No Fault Found events in maintenance engineering Part 2: Root causes, technical developments and future research. Reliability Engineering & System Safety, 123
- Gelman L, Petrunin I, Jennions IK & Walters M. (2012). Diagnostics of Local Tooth Damage in Gears by the Wavelet Technology. International Journal of Prognostics and Health Management, 3(2)
- Gelman L, Jennions I & Petrunin I. (2011). Detection/diagnosis of chipped tooth in gears by the novel residual technology. International Journal of Prognostics and Health Management, 2(2)
- Emunds R, Jennions IK, Bohn D & Gier J. (1999). The Computation of Adjacent Blade-Row Effects in a 1.5-Stage Axial Flow Turbine. Journal of Turbomachinery, 121(1)
- Dailey LD, Jennions IK & Orkwis PD. (1995). Simulation of laminar-turbulent transition with an explicit Navier-Stokes flow solver. Journal of Propulsion and Power, 11(6)
- Jennions IK & Turner MG. (1993). Three-Dimensional Navier–Stokes Computations of Transonic Fan Flow Using an Explicit Flow Solver and an Implicit κ–ε Solver. Journal of Turbomachinery, 115(2)
- Jennions IK. (1987). DESIGNING WITH THE CRAY.. Leading Edge (Evendale OH)
- Jennions IK & Stow P. (1986). The Importance of Circumferential Non-uniformities in a Passage-Averaged Quasi-Three-Dimensional Turbomachinery Design System. Journal of Engineering for Gas Turbines and Power, 108(2)
- Jennions IK & Stow P. (1985). Closure to “Discussion of ‘A Quasi-Three-Dimensional Turbomachinery Blade Design System: Parts I and II’” (1985, ASME J. Eng. Gas Turbines Power, 107, p. 316). Journal of Engineering for Gas Turbines and Power, 107(2)
- Jennions IK & Stow P. (1985). A Quasi-Three-Dimensional Turbomachinery Blade Design System: Part II—Computerized System. Journal of Engineering for Gas Turbines and Power, 107(2)
- Jennions IK & Stow P. (1985). Closure to “Discussion of ‘A Quasi-Three-Dimensional Turbomachinery Blade Design System: Parts I and II’” (1985, ASME J. Eng. Gas Turbines Power, 107, pp. 314–315). Journal of Engineering for Gas Turbines and Power, 107(2)
- Jennions IK & Stow P. (1985). A Quasi-Three-Dimensional Turbomachinery Blade Design System: Part I—Throughflow Analysis. Journal of Engineering for Gas Turbines and Power, 107(2)
- Jennions IK. (1985). Discussion: “Quasi-Three-Dimensional and Full Three-Dimensional Rotational Flow Calculations in Turbomachines” (Wang, Qinghuan, Zhu, Genxing, and Wu, Chung-Hua, 1985, ASME J. Eng. Gas Turbines Power, 107, pp. 277–284). Journal of Engineering for Gas Turbines and Power, 107(2)
- Wang Q, Zhu G & Wu C-H. (1985). Closure to “Discussion of ‘Quasi-Three-Dimensional and Full Three-Dimensional Rotational Flow Calculations in Turbomachines’” (1985, ASME J. Eng. Gas Turbines Power, 107, pp. 284–285). Journal of Engineering for Gas Turbines and Power, 107(2)
- Jennions IK & Hunt BL. (1980). The Axisymmetric Impingement of Supersonic Air Jets on Cones. Aeronautical Quarterly, 31(1)
- Jia L, Ezhilarasu CM & Jennions I. Novel Way to Apply Transfer Learning to Aircraft System Fault Diagnosis. PHM Society European Conference, 7(1)
- Shukla B, Fan I-S & Jennions I. Opportunities for Explainable Artificial Intelligence in Aerospace Predictive Maintenance. PHM Society European Conference, 5(1)
