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Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

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Group by: Publication Date | Item type | No Grouping
Number of items: 19.

Article

Young, Andrew and Devereux, Michael and Brown, Blair and Stephen, Bruce and West, Graeme and McArthur, Stephen (2024) Forecasting the remaining useful life of filters in nuclear power plants. Nuclear Technology. ISSN 1943-7471

Lu, Junyi and Stephen, Bruce and Brown, Blair (2024) Intraday residual transfer learning in minimally observed power distribution networks dynamic state estimation. Data-Centric Engineering, 5 (1). e13. ISSN 2632-6736

Blair, Jennifer and Stephen, Bruce and Brown, Blair and McArthur, Stephen and Gorman, David and Forbes, Alistair and Pottier, Claire and McAlorum, Jack and Dow, Hamish and Perry, Marcus (2024) Photometric stereo data for the validation of a structural health monitoring test rig. Data in Brief, 53. 110164. ISSN 2352-3409

Young, Andrew and West, Graeme and Brown, Blair and Stephen, Bruce and Duncan, Andrew and Michie, Craig and McArthur, Stephen D.J. (2022) Parameterisation of domain knowledge for rapid and iterative prototyping of knowledge-based systems. Expert Systems with Applications, 208. 118169. ISSN 0957-4174

Stephen, Bruce and Brown, Blair and Young, Andrew and Duncan, Andrew and Helfer-Hoeltgebaum, Henrique and West, Graeme and Michie, Craig and McArthur, Stephen D. J. (2022) A quantile dependency model for predicting optimal centrifugal pump operating strategies. Machines, 10 (7). 557. ISSN 2075-1702

Young, Andrew and West, Graeme and Brown, Blair and Stephen, Bruce and Duncan, Andrew and Michie, Craig and McArthur, Stephen (2022) Capturing symbolic expert knowledge for the development of industrial fault detection systems : manual and automated approaches. International Journal of Condition Monitoring and Diagnostic Management, 25 (2). pp. 67-75. ISSN 1363-7681

McGhee, Mark J. and Catterson, Victoria M. and Brown, Blair (2017) Prognostic modelling utilizing a high fidelity pressurized water reactor simulator. IEEE Transactions on Systems, Man and, Cybernetics: Systems. ISSN 2168-2216

Brown, Blair and McInnes, C.R. and Allouis, E. (2010) Dynamic autonomous intelligent control of an asteroid lander. Journal of Aerospace Engineering, 224 (8). pp. 865-879. ISSN 0893-1321

Kennedy, A.R. and Smith, W.E. and Tackley, D.R. and David, W.I.F. and Shankland, K. and Brown, B. and Teat, S.J. (2001) Tetraaryl biphenyl diamine hole transport materials: a structural study utilizing both single crystal and high resolution powder diffraction. Journal of Materials Chemistry, 12. pp. 168-172. ISSN 0959-9428

Book Section

Blair, J and Stephen, B and Brown, Blair David and Forbes, A and McArthur, S; (2022) Hybrid fault prognostics for nuclear applications : addressing rotating plant model uncertainty. In: PHM Society European Conference. Prognostics and Health Society European Conference, ITA, pp. 58-67. ISBN 9781936263363

Amin, Omnia and Brown, Blair and Stephen, Bruce and McArthur, Stephen; Do, Phuc and Michau, Gabriel and Ezhilarasu, Cordelia, eds. (2022) A case-study led investigation of explainable AI (XAI) to support deployment of prognostics in industry. In: Proceedings of the European Conference Of The PHM Society 2022. PHM Society, Pennsylvania, pp. 9-20. ISBN 9781936263363

Young, Andrew and West, Graeme and Brown, Blair and Stephen, Bruce and Michie, Craig and McArthur, Stephen; (2022) Symbolic representation of knowledge for the development of industrial fault detection systems. In: International Congress and Workshop on Industrial AI 2021. IAI 2021. Lecture Notes in Mechanical Engineering . Springer, SWE. ISBN 9783030936396

Conference or Workshop Item

Amin, Omnia and Brown, Blair and Stephen, Bruce and McArthur, Stephen and Livina, Valerie (2023) Machine learning explanations by design : a case study explaining the predicted degradation of a roto-dynamic pump. In: NDT 2023 - 60th Annual British Conference on NDT, 2023-09-12 - 2023-09-14, Northampton Town Centre Hotel.

Young, Andrew and Devereux, Michael and Brown, Blair David and Stephen, Bruce and West, Graeme and McArthur, Stephen (2023) Remaining useful life prediction of filters in nuclear power plants. In: 13th Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies, 2023-07-15 - 2023-07-20.

Young, A and West, G and Brown, B and Stephen, B and Michie, C and McArthur, S and Duncan, A (2021) Semi-automated knowledge capture and representation for the development of knowledge based systems. In: 12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021), 2021-06-14 - 2021-06-16, Virtual.

Young, Andrew T. and West, Graeme M. and Brown, Blair D. and Stephen, Bruce and McArthur, Stephen D.J. (2019) Improved explicability for pump diagnostics in nuclear power plants. In: 2019 ANS Winter Meeting and Nuclear Technology Expo, 2019-11-17 - 2019-11-21.

Brown, Blair and Stephen, Bruce and McArthur, Stephen and West, Graeme and Michie, Craig (2019) A novel implementation of vibration signal decomposition for estimation of degradation in rotating plant. In: The Sixteenth International Conference on Condition Monitoring and Asset Management, 2019-06-25 - 2019-06-27, Central Hotel.

Stephen, Bruce and Brown, Blair and Young, Andrew and McArthur, Stephen and West, Graeme and Michie, Craig and Duncan, Andrew and Helfer-Hoeltgebaum, Henrique (2019) Improved feed pump performance through predictive analytics. In: 2019 Innovation Showcase: Nuclear Asset Management and Industrial Informatics, 2019-05-09 - 2019-05-10.

Brown, Blair and McInnes, Colin (2010) A dynamical systems approach to micro spacecraft autonomy. In: 20th AAS/AIAA Space Flight Mechanics Meeting, 2010-02-14 - 2010-02-17.

This list was generated on Mon Jul 15 07:11:50 2024 BST.