Dr Graeme Manson
BEng(Hons), PhD
School of Mechanical, Aerospace and Civil Engineering
Senior Lecturer
Final Year BEng and MEng Tutor and Project Co-ordinator
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+44 114 222 7790
Full contact details
School of Mechanical, Aerospace and Civil Engineering
Sir Frederick Mappin Building
Mappin Street
Sheffield
S1 3JD
- Profile
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Dr Manson received his BEng(Hons) in Mechanical Engineering from Heriot-Watt University in 1992 before completing a PhD in Mechanical Engineering at the University of Manchester which was awarded in 1996. He joined the Department of Mechanical Engineering at the University of Sheffield in 1995 as a Research Assistant before becoming a Research Associate in 1997.
Dr Manson was awarded an EPSRC Advanced Research Fellowship in 2002 and upon completion in 2007 become a member of academic staff in the department in the role of Lecturer. Since 2008, he has been a Senior Lecturer in the department. He is also the Course Director for all of the department´s MSc courses.
- Research interests
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The main concern of Dr Manson´s research has been, throughout, the development of robust structural health monitoring strategies for the purposes of damage identification. Over the years, this has taken on various approaches beginning with the examination of the response of nonlinear mechanical systems before moving into the fields of signal processing, pattern recognition, machine learning and multivariate statistics for damage identification.
More recently, with the questions of damage prognosis and robustness of structural health monitoring systems, the research has led toward the investigation of the propagation of uncertainty through systems and structures.
Current activities
- Uncertainty Analysis: Investigation of the effects on a system's response of propagating uncertainty (due to lack of knowledge or environmental effects) through that system. Also, employing uncertainty analysis to enhance robustness of damage identification techniques.
- Hybrid and Robust Optimisation: Utilisation of uncertainty analysis tools within genetic and emergent optimisation techniques to make the process more efficient and to tackle the issue of optimising functions where parameters are not fully known.
- Advanced Signal Processing: Feature selection methods for robust damage identification insensitive to operational and environmental variations. Genetic-based methods for optimal feature selection and sensor placement.
- Nonlinear Systems: Using functional series to represent the response of nonlinear systems.
Research Projects
- Self-assembly of diagnostic systems for Structural Health Monitoring
- Pattern recognition for Healthcare diagnostics
- Robust Structural Health Monitoring techniques to bridge the gap between laboratory and working platforms.
- Publications
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Journal articles
- Phase/frequency analysis of diffuse Lamb-wave field for fatigue-crack detection in an aluminium multi-riveted strap joint aircraft panel. Measurement, 224, 113884-113884.
- Damage Detection of the Jabiru’s Aircraft Wing under Operational Fuel Loading Conditions using Neural Network. Journal of Aeronautics, Astronautics and Aviation, 56(1), 1-7.
- Hierarchical verification and validation in a forward model-driven structural health monitoring strategy. Structural Health Monitoring. View this article in WRRO
- Fatigue-crack detection in a multi-riveted strap-joint aluminium aircraft panel using amplitude characteristics of diffuse Lamb wave field. Materials, 16(4). View this article in WRRO
- Kernel principal component analysis for structural health monitoring and damage detection of an engineering structure under operational loading variations. Journal of Failure Analysis and Prevention, 21(6), 1981-1990. View this article in WRRO
- Data Clustering based on Gaussian Mixture Model and Expectation-Maximization Algorithm for Data-driven Structural Health Monitoring System. International Journal of Integrated Engineering, 13(5), 167-175.
- Outlier ensembles: A robust method for damage detection and unsupervised feature extraction from high-dimensional data. Journal of Sound and Vibration. View this article in WRRO
- Active learning for semi-supervised structural health monitoring. Journal of Sound and Vibration, 437, 373-388. View this article in WRRO
- On evolutionary system identification with applications to nonlinear benchmarks. Mechanical Systems and Signal Processing, 112, 194-232. View this article in WRRO
- On multi-site damage identification using single-site training data. Journal of Sound and Vibration, 409, 43-64. View this article in WRRO
- A time–frequency analysis approach for condition monitoring of a wind turbine gearbox under varying load conditions. Mechanical Systems and Signal Processing, 64-65, 188-216. View this article in WRRO
- A numerically-enhanced machine learning approach to damage diagnosis using a Lamb wave sensing network. Journal of Sound and Vibration, 333(19), 4499-4525.
- The use of pseudo-faults for damage location in SHM: An experimental investigation on a Piper Tomahawk aircraft wing. Journal of Sound and Vibration, 333(3), 971-990. View this article in WRRO
- Damage detection in RAPTOR telescope systems using time-frequency analysis methods. Key Engineering Materials, 588, 43-53.
- Advanced tools for damage detection in wind turbines. Key Engineering Materials, 569-570, 547-554.
- Features for damage detection with insensitivity to environmental and operational variations. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 468(2148), 4098-4122. View this article in WRRO
- Non-destructive inspection of adhesively bonded patch repairs using Lamb waves. PLASTICS RUBBER AND COMPOSITES, 41(2), 61-68.
- Some experimental observations on the detection of composite damage using lamb waves. Strain, 47(SUPPL. 1).
- Bayesian sensitivity analysis of a model of the aortic valve. Journal of Biomechanics, 44(8), 1499-1506.
- The use of pseudo-faults for novelty detection in SHM. J SOUND VIB, 329(12), 2349-2366.
- View this article in WRRO
- Advanced feature selection for simplified pattern recognition within the damage identification framework. SHOCK AND VIBRATION, 17(4-5), 589-599.
- An evidence-based approach to damage location on an aircraft structure. MECH SYST SIGNAL PR, 23(6), 1792-1804.
- The use of uncertainty analysis as a food waste estimation tool.. Waste Manag Res, 27(3), 199-206.
- Genetic optimisation of a neural damage locator. J SOUND VIB, 309(3-5), 529-544.
- The fundamental axioms of structural health monitoring. P R SOC A, 463(2082), 1639-1664.
- Damage location in an isotropic plate using a vector of novelty indices. MECH SYST SIGNAL PR, 21(4), 1885-1906.
- The application of machine learning to structural health monitoring.. Philos Trans A Math Phys Eng Sci, 365(1851), 515-537.
- Evaluation of neural network performance and generalisation using thresholding functions. NEURAL COMPUT APPL, 16(2), 109-124.
- EFFECT OF STUD PARAMETERS ON TRACTION. Journal of Biomechanics, 40, S55-S55.
- Abstracts from the 6th International Conference on the Engineering of Sport, 10–14 July 2006, Olympic Hall, Munich, Germany. Sports Engineering, 9(4), 229-249.
- Evaluation of neural network robust reliability using information-gap theory. IEEE T NEURAL NETWOR, 17(6), 1349-1361.
- An application of interval-valued neural networks to a regression problem. P R SOC A, 462(2074), 3097-3114.
- A novel information-gap technique to assess reliability of neural network-based damage detection. J SOUND VIB, 293(1-2), 96-111.
- The use of uncertainty analysis for the design of container closures. PACKAG TECHNOL SCI, 19(3), 139-147.
- Using neural networks to understand relationships in the traction of studded footwear on sports surfaces. Journal of Biomechanics, 39, S183-S183.
- Some observations on uncertainty propagation through a simple nonlinear system. JOURNAL OF SOUND AND VIBRATION, 288(3), 601-621.
- Uncertainty in structural dynamics. J SOUND VIB, 288(3), 423-429.
- A Volterra series approximation to the coherence of the Duffing oscillator. J SOUND VIB, 286(3), 529-547.
- Identification of pre-sliding friction dynamics. CHAOS, 14(2), 420-430.
- Experimental validation of a structural health monitoring methodology. Part III. Damage location on an aircraft wing. J SOUND VIB, 259(2), 365-385.
- Experimental validation of a structural health monitoring methodology: Part I. Novelty detection on a laboratory structure. J SOUND VIB, 259(2), 323-343.
- Experimental validation of a structural health monitoring methodology. Part II. Novelty detection on a Gnat aircraft. J SOUND VIB, 259(2), 345-363.
Damage assessment in smart composite structures: the DAMASCOS program . Smart Structures and Materials 2001: Smart Structures and Integrated Systems.- Visualisation and Dimension Reduction of Acoustic Emission Data for Damage Detection. Journal of Intelligent Materials Systems and Structures, 12(8), 529-536.
- Visualisation and dimension reduction of acoustic emission data for damage detection. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 12(8), 529-536.
- Damage assessment in smart composite structures: the DAMASCOS programme. Air & Space Europe, 3(3-4), 132-138.
- On the identification of hysteretic systems. Part I: Fitness landscapes and evolutionary identification. Mechanical Systems and Signal Processing.
- Time-optimal control of an overhead crane model. Optimal Control Applications and Methods, 3(2), 115-120.
Chapters
- On the Use of the Generating Series for the Impulse Response of Duffing’s Equation, Conference Proceedings of the Society for Experimental Mechanics Series (pp. 125-135). Springer Nature Switzerland
- State-of-the-Art and Future Directions for Predictive Modelling of Offshore Structure Dynamics Using Machine Learning, Conference Proceedings of the Society for Experimental Mechanics Series (pp. 223-233). Springer International Publishing
- Contributor contact details, Structural Health Monitoring of Civil Infrastructure Systems (pp. xi-xiv). Elsevier
- Statistical pattern recognition and damage detection in structural health monitoring of civil infrastructure systems, Structural Health Monitoring of Civil Infrastructure Systems (pp. 305-335).
- Optimization Techniques for Damage Detection John Wiley & Sons, Ltd
- Uncertainty Analysis John Wiley & Sons, Ltd
Conference proceedings papers
- Periodic Response Prediction for Hybrid and Piecewise Linear Systems (pp 41-49)
- On the Selection and Validation of Component Damage Models for Prediction of Damage-State Behavior of a Truss Bridge (pp 181-188)
- Hierarchical Model Verification and Validation for Structural Health Monitoring Using Dynamic Substructuring (pp 533-542)
- Active Learning Approaches to Structural Health Monitoring (pp 157-159)
- Higher-Order Frequency Response Functions for Hysteretic Systems (pp 191-201)
- On the Behaviour of Structures with Many Nonlinear Elements (pp 509-520)
- Linear and Nonlinear System Identification Using Evolutionary Optimisation (pp 325-345)
- On Gaussian Process NARX Models and Their Higher-Order Frequency Response Functions (pp 315-335)
- Analysis of Nonlinear System Response to an Impulse Excitation (pp 297-308)
- Damage detection in gearboxes considering intermittent faults and time-varying loads. Key Engineering Materials, Vol. 518 (pp 76-86)
- Analysis of Reciprocity Breakdown in Nonlinear Systems. MODERN PRACTICE IN STRESS AND VIBRATION ANALYSIS 2012 (MPSVA 2012), Vol. 382
- On damage detection in wind turbine gearboxes using outlier analysis. Proceedings of SPIE - The International Society for Optical Engineering, Vol. 8343
- On the identification of hysteretic systems, part I: An extended evolutionary scheme. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 2 (pp 67-75)
- Classification of Multi-Site Damage using Support Vector Machines. 9th International Conference on Damage Assessment of Structures. Oxford, UK
- Multiple-site Damage Location Using Single-site Training Data (pp 195-201)
- Analysis of instantaneous characteristics of guided ultrasonic waves in metallic structures with aluminium repair patches. Proceedings of SPIE - The International Society for Optical Engineering, Vol. 7984
- Volterra methods for constructing structural dynamic observables for nonlinear systems: An extended calculation. Journal of Physics: Conference Series, Vol. 181(1)
- Fatigue crack detection in a multi-riveted strap joint aluminium panel. Proceedings of SPIE - The International Society for Optical Engineering, Vol. 7295
- View this article in WRRO
- Modelling traction of studded footwear on sports surfaces using neural networks, Vol. 3 (pp 403-408)
- A fresh approach to sports equipment design: Evolving hockey sticks using genetic algorithms, Vol. 3 (pp 81-86)
- Calculating frequency response functions for uncertain systems using complex affine analysis. JOURNAL OF SOUND AND VIBRATION, Vol. 288(3) (pp 487-521)
- Application of ultrasonic Lamb wave techniques to the evaluation of advanced composite structures. Smart Structures and Materials 2000: Sensory Phenomena and Measurement Instrumentation for Smart Structures and Materials
- Principal Component Analysis and Artificial Neural Network Framework for Damage Detection Strategy under Varying Operational Loading Conditions. Structural Health Monitoring 2017, 12 September 2017 - 14 September 2017.
- Phase/frequency analysis of diffuse Lamb-wave field for fatigue-crack detection in an aluminium multi-riveted strap joint aircraft panel. Measurement, 224, 113884-113884.
- Grants
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- Uncertainty, Propagation in Structures, Systems and Processes, funded by EPSRC, 11/2006 – 10/2011; £734193 (25%)
- Smart Sensing for Structural Health Monitoring, funded by EPSRC, £230400
- Teaching activities
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- MEC319 – Sensors, Actuators and Controllers
- MEC415 – Condition Monitoring