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Engineering Resilient Complex Systems: The Necessary Shift Toward Complexity Science (2020)
Journal Article
Punzo, G., Tewari, A., Butans, E., Vasile, M., Purvis, A., Mayfield, M., & Varga, L. (2020). Engineering Resilient Complex Systems: The Necessary Shift Toward Complexity Science. IEEE Systems Journal, 14(3), 3865-3874. https://doi.org/10.1109/jsyst.2019.2958829

This position article addresses resilience in complex engineering and engineered systems (CES). It offers a synthesis of academic thinking with an empirical analysis of the challenge. This article puts forward argumentations and a conceptual framewor... Read More about Engineering Resilient Complex Systems: The Necessary Shift Toward Complexity Science.

A review of methods to study resilience of complex engineering and engineered systems (2020)
Journal Article
Naghshbandi, S. N., Varga, L., Purvis, A., Mcwilliam, R., Minisci, E., Vasile, M., Troffaes, M., Sedighi, T., Guo, W., Manley, E., & Jones, D. H. (2020). A review of methods to study resilience of complex engineering and engineered systems. IEEE Access, 8(1), 87775-87799. https://doi.org/10.1109/access.2020.2992239

Uncertainty and interconnectedness in complex engineering and engineered systems such as power-grids and telecommunication networks are sources of vulnerability compromising the resilience of these systems. Conditions of uncertainty and interconnecte... Read More about A review of methods to study resilience of complex engineering and engineered systems.

Using big-data and surface fitting to improve aircraft safety through the study of relationships and anomalies (2017)
Presentation / Conference Contribution
Wooder, D., Purvis, A., & McWilliam, R. (2017, December). Using big-data and surface fitting to improve aircraft safety through the study of relationships and anomalies. Presented at TESCONF-2016, Cranfield

The aim of this paper is to assess the utility of a Big-Data approach to fault detection for ‘systems of systems’, utilising the derivation of empirical relationships identified through surface fitting. So-called Big-Data Integrated Vehicle Health Ma... Read More about Using big-data and surface fitting to improve aircraft safety through the study of relationships and anomalies.

Modelling the Positional and Orientation Sensitivity of Proximity Sensors. (2016)
Presentation / Conference Contribution
McWilliam, R., Khan, S., & Purvis, A. (2016, December). Modelling the Positional and Orientation Sensitivity of Proximity Sensors. Presented at 2016 UKSim-AMSS 18th International Conference on Computer Modelling and Simulation (UKSim), Cambridge

This paper presents an analysis of robust proximity sensor interfaces for Industrial Internet of Things applications. A Model is presented with the aim of maximizing the range and freedom of orientation of passive sensing and communications devices i... Read More about Modelling the Positional and Orientation Sensitivity of Proximity Sensors..

Modelling the Positional and Orientation Sensitivity of Inductively Coupled Sensors for Industrial IoT Applications (2016)
Journal Article
McWilliam, R., Purvis, A., & Khan, S. (2016). Modelling the Positional and Orientation Sensitivity of Inductively Coupled Sensors for Industrial IoT Applications. International journal of simulation: systems, science & technology, 17(35), Article 23.1

As the Internet of Things (IoT) sector continually expands there is a growing abstraction between physical objects and the data associated with them. At the same time, emerging Industrial-IoT applications rely upon diverse and robust hardware sensing... Read More about Modelling the Positional and Orientation Sensitivity of Inductively Coupled Sensors for Industrial IoT Applications.

High contrast pattern reconstructions using a phase-seeded point CGH method (2016)
Journal Article
McWilliam, R., Williams, G., Cowling, J., Seed, L., & Purvis, A. (2016). High contrast pattern reconstructions using a phase-seeded point CGH method. Applied Optics, 55(7), 1701-1710. https://doi.org/10.1364/ao.55.001701

A major challenge encountered in digital holography applications is the need to synthesize computer-generated holograms (CGHs) that are realizable as phase-only elements while also delivering high quality reconstruction. This trade-off is particularl... Read More about High contrast pattern reconstructions using a phase-seeded point CGH method.

Modelling Electronic Circuit Failures using a Xilinx FPGA System (2015)
Journal Article
Carney, T., McWilliam, R., & Purvis, A. (2015). Modelling Electronic Circuit Failures using a Xilinx FPGA System. Procedia CIRP, 38, 277-282. https://doi.org/10.1016/j.procir.2015.08.039

FPGAs are a ubiquitous electronic component utilised in a wide range of electronic systems across many industries. Almost all modern FPGAs employ SRAM based configuration memory elements which are susceptible to radiation induced soft errors. In high... Read More about Modelling Electronic Circuit Failures using a Xilinx FPGA System.

Experimental validation of a resilient electronic logic design with autonomous fault discrimination/masking (2015)
Journal Article
McWilliam, R., Schiefer, P., & Purvis, A. (2015). Experimental validation of a resilient electronic logic design with autonomous fault discrimination/masking. Procedia CIRP, 38, 265-270. https://doi.org/10.1016/j.procir.2015.08.027

This paper presents the experimental validation of a novel fault-tolerant electronic logic design conducted by an automated mixed-signal fault injection procedure. The design under evaluation relies upon a novel redundant design strategy intended to... Read More about Experimental validation of a resilient electronic logic design with autonomous fault discrimination/masking.