A Contribution to Thermal Ageing Assessment of Glass Fiber Insulated Wire Based on Partial Discharges Activity (2022)
Journal Article
Naderiallaf, H., Giangrande, P., & Galea, M. (2022). A Contribution to Thermal Ageing Assessment of Glass Fiber Insulated Wire Based on Partial Discharges Activity. IEEE Access, 10, 41186-41200. https://doi.org/10.1109/ACCESS.2022.3167698

This paper aims to evaluate a Type-II insulated wire (i.e., Glass fibre insulated wire) as a function of thermal ageing time based on partial discharges (PD) activity. Partial discharge inception voltage (PDIV), partial discharge extinction voltage (... Read More about A Contribution to Thermal Ageing Assessment of Glass Fiber Insulated Wire Based on Partial Discharges Activity.

Optimal Design and Synthesis of MEA Power System Architectures considering Reliability Specifications (2020)
Journal Article
Recalde, A. A., Atkin, J. A., & Bozhko, S. V. (2020). Optimal Design and Synthesis of MEA Power System Architectures considering Reliability Specifications. IEEE Transactions on Transportation Electrification, 6(4), 1801-1818. https://doi.org/10.1109/TTE.2020.3002875

IEEE Aircraft electrification requires novel designs to supply the growing demand for electric power on-board through efficient and reliable production and distribution of electrical energy. Moreover, the aircraft power system will be a key enabler f... Read More about Optimal Design and Synthesis of MEA Power System Architectures considering Reliability Specifications.

An efficient multiscale surrogate modelling framework for composite materials considering progressive damage based on artificial neural networks (2020)
Journal Article
Yan, S., Zou, X., Ilkhani, M., & Jones, A. (2020). An efficient multiscale surrogate modelling framework for composite materials considering progressive damage based on artificial neural networks. Composites Part B: Engineering, 194, https://doi.org/10.1016/j.compositesb.2020.108014

© 2020 Elsevier Ltd Modelling of the progressive damage behaviour of large-scale composite structures presents a significant challenge in terms of computational cost. This is due to the detailed description in finite element (FE) models for the mater... Read More about An efficient multiscale surrogate modelling framework for composite materials considering progressive damage based on artificial neural networks.

Optimal sensor configuration for ultrasonic guided-wave inspection based on value of information (2019)
Journal Article
Cantero-Chinchilla, S., Chiachío, J., Chiachío, M., Chronopoulos, D., & Jones, A. (2020). Optimal sensor configuration for ultrasonic guided-wave inspection based on value of information. Mechanical Systems and Signal Processing, 135, Article 106377. https://doi.org/10.1016/j.ymssp.2019.106377

Condition-based maintenance critically relies on efficient and reliable structural health monitoring systems, where the number, position and type of sensors are determined according to rational and principled criteria. This paper proposes the use of... Read More about Optimal sensor configuration for ultrasonic guided-wave inspection based on value of information.

A robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves (2018)
Journal Article
Cantero-Chinchilla, S., Chiachío, M., Chiachío, J., Chronopoulos, D., & Jones, A. (2019). A robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves. Mechanical Systems and Signal Processing, 122, 192-205. https://doi.org/10.1016/j.ymssp.2018.12.021

SHM methods for damage detection and localization in plate-like structures have typically relied on signal post-processing techniques applied to ultrasonic guided-waves. The time of flight is one of these signals features which has been extensively u... Read More about A robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves.