Dissemination
Journals
Mao, L., Jackson, L. (2016). Comparative study on prediction of fuel cell performance using machine learning approaches. Lecture Notes in Engineering and Computer Science, 2221(1):52-57.
Mao, L., Jackson, L. (2016). Selection of optimal sensors for predicting performance of polymer electrolyte membrane fuel cell. Journal of Power Sources, 328:151-160.
Mao, L., Jackson, L., Dunnett, S.J. (2017). Fault diagnosis of practical polymer electrolyte membrane (PEM) fuel cell system with data-driven approaches. Fuel Cells, 17(2): 247-258.
Mao, L., Jackson, L., Jackson, T. (2017). Investigation of polymer electrolyte membrane fuel cell internal behaviour during long term operation and its use in prognostics. Journal of Power Sources., 362:39-49.
Mao, L., Davies, B., Jackson, L. (2017). Application of sensor selection approach in polymer electrolyte membrane fuel cell prognostics and health management. Energies，10(10), 1511.
Vasilyev, A., Andrews, J., Jackson, L., Dunnett, S., & Davies, B. (2017). Component-based Modelling of PEM Fuel Cells with Bond Graphs. International Journal of Hydrogen Energy. - Accepted; currently in production.
Vasilyev, A., Andrews, J., Jackson, L., & Dunnett, S. (2017). Reliability modelling of PEM fuel cells with hybrid Petri nets. In Safety and Reliability – Theory and Applications (pp. 2857–2864). CRC Press.
Conferences / Seminars
Vasilyev A, Jackson L, Andrews J, Dunnett S. H2FC Researcher Conference, Dec 11-14 2016, Belfast, UK. Presentation titled "Reliability Modelling of PEM Fuel Cells with Petri Nets and Bond Graphs".
Mao, L., Jackson, L. (2016). Fault diagnosis of PEM fuel cells with data-driven approaches. Battery and Fuel Cell Diagnostics – An Interdisciplinary Perspective, 13 July, 2016, Liverpool, UK.
Mao, L., Jackson, L.J., Davies, B. (2017). Fault diagnosis of a polymer electrolyte membrane fuel cell using Bayesian network. 30th Conference on Condition Monitoring and Diagnostic Engineering Management. 10-13 July, Preston, UK.
Mao, L., Jackson, L., Andrews, J., Jackson, T., Vasilyev, A., Abar, S. (2016). An enhanced health monitoring framework for fuel-cell extended performance. Fuel Cell and Hydrogen Technical Conference, 25-26 May, 2016, Birmingham, UK.
Davies, B., Mao, L., Jackson, L. (2017). Investigation of PEMFC fault diagnosis with consideration of sensor reliability. VI Symposium on Hydrogen, Fuel Cells and Advanced Batteries, 19-23 June, 2017, Porto, Portugal.
Mao, L., Jackson, L. (2017). Effectiveness of sensor selection algorithms in PEMFC condition monitoring, CARISMA 2017, 09-12 April, 2017, Newcastle, UK.
Mao, L., Jackson, L.(2017). Performance prediction of polymer electrolyte membrane (PEM) fuel cells, OR59 the Operational Research Society Annual Conference, 12-14 September, 2017, Loughborough, UK.
Tsalapati, E, Jackson, T, Johnson, W. (2017). Diagnosis for PEM Fuel Cell Systems using Semantic Technologies, ODS2017 - Int. Conf. Optimization and Decision Science 2017.
Vasilyev A, Jackson L, Andrews J, Dunnett S. Reliability modelling of PEM fuel cells with hybrid Petri nets. ESREL 2017, June 18-22, Portoroz, Slovenia:
Vasilyev A, Jackson L, Andrews J, Dunnett S. Hybrid Modelling for Dynamic Reliability Assessment of PEM Fuel Cell Systems. CARISMA 2017, April 9-12, Newcastle, UK
Code & documentation
System Monitoring Ontology
Link : click here for access
Visualisation and decision system application
