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Open Access research that better understands changing marine ecologies...

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.

Explore the Open Access research of Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Jump to: 2019 | 2018 | 2017 | 2015 | 2014 | 2012
Number of items: 19.

2019

Kolios, Athanasios and Walgern, Julia and Koukoura, Sofia and Pandit, Ravi and Chiachio-Ruano, Juan; (2019) openO&M : Robust O&M open access tool for improving operation and maintenance of offshore wind turbines. In: Proceedings of the 29th European Safety and Reliability Conference. Research Publishing, DEU, pp. 629-625. ISBN 978981112723

Cantero-Chinchilla, Sergio and Chiachío, Juan and Chiachío, Manuel and Chronopoulos, Dimitrios and Jones, Arthur (2019) A robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves. Mechanical Systems and Signal Processing, 122. pp. 192-205. ISSN 0888-3270

2018

Chiachío, Manuel and Chiachío, Juan and Prescott, Darren and Andrews, John (2018) Plausible Petri nets as self-adaptive expert systems : a tool for infrastructure asset monitoring. Computer-Aided Civil and Infrastructure Engineering. pp. 1-18. ISSN 1467-8667

Chiachío, Manuel and Chiachío, Juan and Prescott, Darren and Andrews, John (2018) A new paradigm for uncertain knowledge representation by Plausible Petri nets. Information Sciences, 453. pp. 323-345. ISSN 0020-0255

Chiachio, J. and Chiachio, M. and Prescott, D. and Andrews, J.; De Angelis, Marco, ed. (2018) Modelling adaptive systems using plausible petri nets. In: REC2018 Papers. Institute for Risk and Uncertainty, University of Liverpool, GBR, pp. 103-109.

Chiachío, Juan and Chiachío, Manuel and Prescott, Darren and Andrews, John (2018) A knowledge-based prognostics framework for railway track geometry degradation. Reliability Engineering and System Safety, 181. pp. 127-141. ISSN 0951-8320

Chiachio-Ruano, Juan and Chiachio Ruano, Manuel and Prescott, Darren and Andrews, John; Kulkarni, Chetan S. and Tinga, Tiedo, eds. (2018) A Bayesian assessment for railway track geometry degradation prognostics. In: Proceedings of the European Conference of the PHM Society. PHM Society European Conference, 4 . PHM Society, NLD.

Chiachío, Juan and Chiachío, Manuel and Sankararaman, Shankar and Prescott, Darren (2018) A Bayesian assessment of an approximate model for unconfined water flow in sloping layered porous media. Transport in Porous Media. ISSN 0169-3913

2017

Chiachio, Manuel and Chiachio, Juan and Sankararaman, Shankar and Goebel, Kai and Andrews, John (2017) A new algorithm for prognostics using Subset Simulation. Reliability Engineering and System Safety, 168. pp. 189-199. ISSN 0951-8320

Chiachio, Manuel and Chiachio, Juan and Sankararaman, Shankar and Andrews, John; (2017) Integration of prognostics at a system level : a Petri net approach. In: Proceedings of the 2017 Annual Conference of the Prognostics and Health Management Society. PHM Society, Rochester, NY.. ISBN 9781936263264

Chiachio, Juan and Chiachio, Manuel and Prescott, Darren and Andrews, John; (2017) A reliability-based prognostics framework for railway track management. In: Prognostics and Health Management Society Conference Proceedings. PHM Society, Rochester, NY.. ISBN 9781936263264

Chiachío, Juan and Bochud, Nicolas and Chiachío, Manuel and Cantero, Sergio and Rus, Guillermo (2017) A multilevel Bayesian method for ultrasound-based damage identification in composite laminates. Mechanical Systems and Signal Processing, 88. pp. 462-477. ISSN 0888-3270

Chiachio, Manuel and Chiachio, Juan and Prescott, Darren and Andrews, John; (2017) An information theoretic approach for knowledge representation using Petri nets. In: 2016 Future Technologies Conference. IEEE, USA, pp. 165-172. ISBN 9781509041718

2015

Chiachio, Juan and Chiachio, Manuel and Sankararaman, Shankar and Saxena, Abhinav and Goebel, Kai (2015) Condition-based prediction of time-dependent reliability in composites. Reliability Engineering and System Safety, 142. pp. 134-147. ISSN 0951-8320

Rus, G. and Chiachío, J. and Chiachío, M. (2015) Logical inference for inverse problems. Inverse Problems in Science and Engineering, 24 (3). pp. 448-464. ISSN 1741-5977

Chiachío, J. and Chiachío, M. and Saxena, A. and Sankararaman, S. and Rus, G. and Goebel, K. (2015) Bayesian model selection and parameter estimation for fatigue damage progression models in composites. International Journal of Fatigue, 70. pp. 361-373. ISSN 0142-1123

2014

Chiachío, Manuel and Chiachío, Juan and Rus, Guillermo and Beck, James L. (2014) Predicting fatigue damage in composites : a Bayesian framework. Structural Safety, 51. pp. 57-68. ISSN 0167-4730

Chiachio, Manuel and Beck, James L. and Chiachio, Juan and Rus, Guillermo (2014) Approximate Bayesian computation by subset simulation. SIAM Journal on Scientific Computing, 36 (3). 1339–1358. ISSN 1064-8275

2012

Chiachio, Manuel and Chiachio, Juan and Rus, Guillermo (2012) Reliability in composites – a selective review and survey of current development. Composites Part B: Engineering, 43 (3). pp. 902-913. ISSN 1359-8368

This list was generated on Wed Dec 18 13:54:26 2024 GMT.