Edoardo Patelli

Phone01415484682
Emailedoardo.patellistrath.acuk

United Kingdom

Accepting PhD Students

PhD projects

1) Reliable and efficient predictive maintenance tools under uncertainty;

2) Reliable digital simulation tools for improved resilience in Nuclear Power Plants

3) Safety assessment of Hydrogen

4) Resilience Assessment of Interconnected Networks and Smart Infrastructures

5) Human error and Intelligent and Autonomous systems

If you made any changes in Pure these will be visible here soon.

97 Article
66 Conference contribution book
15 Paper
3 Chapter
More

1 - 50 out of 190 results

2023

Workplace accident analysis in the Algerian oil and gas industry
Zerrouki, H., Ghozlane, M. D. E., Estrada Lugo, H. D. & Patelli, E., 17 Jan 2023, (E-pub ahead of print) In: Process Safety Progress. 10 p.
Research output: Contribution to journal › Article › peer-review
2022
Special section on decommissioning and life extension of complex industrial assets
Moura, R., Beer, M., de Souza, G. F. M. & Patelli, E., 1 Dec 2022, In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B - Mechanical Engineering. 8, 4, 2 p., 040301 .
Research output: Contribution to journal › Editorial › peer-review

Open Access
File
Toward DEMO power plant concept selection under epistemic uncertainty
Miralles-Dolz, E., Pearce, A., Morris, J. & Patelli, E., 30 Nov 2022, In: IEEE Transactions on Plasma Science. 50, 11, p. 4440-4445 6 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Robust online updating of a digital twin with imprecise probability
de Angelis, M., Gray, A., Ferson, S. & Patelli, E., 1 Mar 2023, In: Mechanical Systems and Signal Processing. 186, 17 p., 109877.
Research output: Contribution to journal › Article › peer-review

Open Access
File
1 Citation (Scopus)

2 Downloads (Pure)
Bivariate dependency tracking in interval arithmetic
Gray, A., De Angelis, M., Patelli, E. & Ferson, S., 1 Mar 2023, In: Mechanical Systems and Signal Processing. 186, p. 109771 19 p., 109771.
Research output: Contribution to journal › Article › peer-review

Open Access
File
1 Citation (Scopus)

6 Downloads (Pure)
Generative optimisation of resilient drone logistic networks
Filippi, G., Vasile, M., Patelli, E. & Fossati, M., 6 Sep 2022, 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings. Piscataway, NJ: IEEE, 8 p. (2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Open Access
File
14 Downloads (Pure)
Multi-layer resilience optimisation for next generation drone logistic networks
Filippi, G., Patelli, E., Vasile, M. & Fossati, M., 2 Sep 2022. 8 p.
Research output: Contribution to conference › Paper › peer-review

Open Access
File
13 Downloads (Pure)
Interval-based global sensitivity analysis for epistemic uncertainty
Miralles-Dolz, E., Gray, A., de Angelis, M. & Patelli, E., 1 Sep 2022, Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022). Singapore, p. 2545-2552 8 p.
Research output: Chapter in Book/Report/Conference proceeding › Chapter

Open Access
File
1 Downloads (Pure)
A data driven approach to elicit causal links between performance shaping factors and human failure events
Johnson, K., Morais, C., Patelli, E. & Walls, L., 28 Aug 2022, Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022). Signapore, p. 520-527 8 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Open Access
File
4 Downloads (Pure)
Distribution-free risk analysis
Gray, A., Ferson, S., Kreinovich, V. & Patelli, E., 31 Jul 2022, In: International Journal of Approximate Reasoning. 146, p. 133-156 24 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
1 Citation (Scopus)

7 Downloads (Pure)
An efficient and robust sampler for Bayesian inference: Transitional Ensemble Markov Chain Monte Carlo
Lye, A., Cicirello, A. & Patelli, E., 15 Mar 2022, In: Mechanical Systems and Signal Processing. 167, Part B, 23 p., 108471.
Research output: Contribution to journal › Article › peer-review

Open Access
File
6 Citations (Scopus)

7 Downloads (Pure)
Robust optimization of a dynamic Black-box system under severe uncertainty: a distribution-free framework
Lye, A., Kitahara, M., Broggi, M. & Patelli, E., 15 Mar 2022, In: Mechanical Systems and Signal Processing. 167, 58 p., 108522.
Research output: Contribution to journal › Article › peer-review

Open Access
File
4 Citations (Scopus)

1 Downloads (Pure)
Invited perspectives: challenges and future directions in improving bridge flood resilience
Tubaldi, E., White, C. J., Patelli, E., Mitoulis, S. A., de Almeida, G., Brown, J., Cranston, M., Hardman, M., Koursari, E., Lamb, R., McDonald, H., Mathews, R., Newell, R., Pizarro, A., Roca, M. & Zonta, D., 10 Mar 2022, In: Natural Hazards and Earth System Science. 22, 3, p. 795–812 18 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
2 Downloads (Pure)
Identification of human errors and influencing factors: a machine learning approach
Morais, C., Yung, K. L., Johnson, K., Moura, R., Beer, M. & Patelli, E., 28 Feb 2022, In: Safety Science. 146, p. 105528 25 p., 105528.
Research output: Contribution to journal › Article › peer-review

Open Access
File
7 Citations (Scopus)

19 Downloads (Pure)
Robust data-driven human reliability analysis using credal networks
Morais, C., Estrada-Lugo, H. D., Tolo, S., Jacques, T., Moura, R., Beer, M. & Patelli, E., Feb 2022, In: Reliability Engineering and System Safety. 218, A, 107990.
Research output: Contribution to journal › Article › peer-review

Open Access
File
5 Citations (Scopus)
Spatial variability characteristics of the effective friction angle of Crag deposits and its effects on slope stability
Agbaje, S., Zhang, X., Ward, D., Dhimitri, L. & Patelli, E., 31 Jan 2022, In: Computers and Geotechnics. 141, 104532.
Research output: Contribution to journal › Article › peer-review

Open Access
File
2 Citations (Scopus)
Time-frequency domain characteristics analysis of a hydro-turbine governor system considering vortex rope excitation
Lei, L., Li, F., Xu, B., Egusquiza, M., Luo, X., Zhang, J., Egusquiza, E., Chen, D., Jiang, W. & Patelli, E., 31 Jan 2022, In: Renewable Energy. 183, p. 172-187 16 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
1 Citation (Scopus)
2021
Engineering analysis with probability boxes: a review on computational methods
Faes, M. G. R., Daub, M., Marelli, S., Patelli, E. & Beer, M., 30 Nov 2021, In: Structural Safety. 93, 11 p., 102092.
Research output: Contribution to journal › Article › peer-review

Open Access
File
27 Citations (Scopus)

2 Downloads (Pure)
Uncertainty propagation in SINBAD fusion benchmarks with total Monte Carlo and imprecise probabilities
Gray, A., Davis, A. & Patelli, E., 17 Nov 2021, In: Fusion Science and Technology. 77, 7-8, p. 802-812 11 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Sampling methods for solving Bayesian model updating problems: a tutorial
Lye, A., Cicirello, A. & Patelli, E., 31 Oct 2021, In: Mechanical Systems and Signal Processing. 159, 43 p., 107760.
Research output: Contribution to journal › Article › peer-review

Open Access
File
27 Citations (Scopus)

9 Downloads (Pure)
Developing a design optimization methodology for the thermal-hydraulic evaluation for a high temperature reactor during a DLOCA
Atkinson, S., Gray, A. & Patelli, E., 22 Oct 2021, In: Journal of Physics: Conference Series. 2048, 15 p., 012033.
Research output: Contribution to journal › Conference article › peer-review

Open Access
File
4 Downloads (Pure)
Multiscale power fluctuation evaluation of a hydro-wind-photovoltaic system
Xiong, H., Xu, B., Kheav, K., Luo, X., Zhang, X., Patelli, E., Guo, P. & Chen, D., 30 Sep 2021, In: Renewable Energy. 175, p. 153-166 14 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
6 Citations (Scopus)

1 Downloads (Pure)
The potential for photovoltaic-powered pumped-hydro systems to reduce emissions, costs, and energy insecurity in rural China
Yang, Z., Sun, G., Behrens, P., Østergaard, P. A., Egusquiza, M., Egusquiza, E., Xu, B., Chen, D. & Patelli, E., 30 Sep 2021, In: Energy Conversion and Management: X. 11, 14 p., 100108.
Research output: Contribution to journal › Article › peer-review

Open Access
File
3 Citations (Scopus)

2 Downloads (Pure)
Line sampling simulation
Valdebenito, M. A., de Angelis, M. & Patelli, E., 28 Sep 2021, Reliability-Based Analysis and Design of Structures and Infrastructure. Farsangi, E. N., Noori, M., Gardoni, P., Takewaki, I., Varum, H. & Bogdanovic, A. (eds.). Boca Raton, FL, p. 215-226 12 p.
Research output: Chapter in Book/Report/Conference proceeding › Chapter
Reliability-based design optimization under mixed aleatory/epistemic uncertainties: theory and applications
Celorrio, L. & Patelli, E., 1 Sep 2021, In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems. Part A. Civil Engineering. 7, 3, 13 p., 04021026.
Research output: Contribution to journal › Article › peer-review

Open Access
File
6 Citations (Scopus)

4 Downloads (Pure)
What’s Z−X, when Z = X+Y? Dependency tracking in interval arithmetic with bivariate sets
Gray, A., de Angelis, M., Ferson, S. & Patelli, E., 17 May 2021. 12 p.
Research output: Contribution to conference › Paper › peer-review

Open Access
File
2020
Resilience assessment of safety-critical systems with credal networks
Estrada-Lugo, H. D., Santhosh, T. V., de Angelis, M. & Patelli, E., 5 Nov 2020, Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. Singapore , 8 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Bayesian regression over sparse fatigue crack growth data for nuclear piping
Lye, A., de Angelis, M. & Patelli, E., 4 Nov 2020. 1 p.
Research output: Contribution to conference › Poster › peer-review

Open Access
File
Dynamic and probabilistic multi-class prediction of tunnel squeezing intensity
Chen, Y., Li, T., Zeng, P., Ma, J., Patelli, E. & Edwards, B., 31 Aug 2020, In: Rock Mechanics and Rock Engineering. 53, 8, p. 3521-3542 22 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
7 Citations (Scopus)

7 Downloads (Pure)
An efficient approach for computing analytical non-parametric fragility curves
Altieri, D. & Patelli, E., 31 Jul 2020, In: Structural Safety. 85, 12 p., 101956.
Research output: Contribution to journal › Article › peer-review

Open Access
File
8 Citations (Scopus)

18 Downloads (Pure)
Optimal regulation of the construction of reliable sea defenses
Nieto-Cerezo, O., Wenzelburger, J., Patelli, E. & Beer, M., 30 Jun 2020, In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 6, 2, 12 p., 04020023.
Research output: Contribution to journal › Article › peer-review

Open Access
File
1 Downloads (Pure)
A post-contingency power flow emulator for generalized probabilistic risks assessment of power grids
Rocchetta, R. & Patelli, E., 31 May 2020, In: Reliability Engineering and System Safety. 197, 12 p., 106817.
Research output: Contribution to journal › Article › peer-review

Open Access
File
14 Citations (Scopus)

5 Downloads (Pure)
Transient safety assessment and risk mitigation of a hydroelectric generation system
Li, H., Xu, B., Arzaghi, E., Abbassi, R., Chen, D., Aggidis, G. A., Zhang, J. & Patelli, E., 1 Apr 2020, In: Energy. 196, 17 p., 117135.
Research output: Contribution to journal › Article › peer-review

Open Access
File
14 Citations (Scopus)

52 Downloads (Pure)
Analytic probabilistic safety analysis under severe uncertainty
Sadeghi, J., de Angelis, M. & Patelli, E., 31 Mar 2020, In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 6, 1, 9 p., 04019019.
Research output: Contribution to journal › Article › peer-review

Open Access
File
6 Citations (Scopus)

10 Downloads (Pure)
Robust propagation of probability boxes by interval predictor models
Sadeghi, J., de Angelis, M. & Patelli, E., 31 Jan 2020, In: Structural Safety. 82, 10 p., 101889.
Research output: Contribution to journal › Article › peer-review

Open Access
File
16 Citations (Scopus)

10 Downloads (Pure)
Credal Networks for Risk and Resilience Assessment of Complex Safety Systems Subject to Severe Accidents
Estrada Lugo, H. D., Patelli, E., de Angelis, M. & Diaz De La O, A., 2020
Research output: Thesis › Master's Thesis
Uncertainty Modelling for Scarce and Imprecise Data in Engineering Applications
Sadeghi, J., Patelli, E. & de Angelis, M., 2020
Research output: Thesis › Master's Thesis
2019
On the robust estimation of small failure probabilities for strong non-linear models
Faes, M., Sadeghi, J., Broggi, M., Angelis, M. D., Patelli, E., Beer, M. & Moens, D., 31 Dec 2019, In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B - Mechanical Engineering. 5, 4, 8 p., 041007.
Research output: Contribution to journal › Article › peer-review

Open Access
File
17 Citations (Scopus)

7 Downloads (Pure)
Pseudo credal networks for inference with probability intervals
Estrada-Lugo, H. D., Tolo, S., De Angelis, M. & Patelli, E., 31 Dec 2019, In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering. 5, 4, 12 p., 041010.
Research output: Contribution to journal › Article › peer-review

Open Access
File
11 Citations (Scopus)

3 Downloads (Pure)
Correction to 'A probabilistic metric for the validation of computational models'
Dvurecenska, K., Graham, S., Patelli, E. & Patterson, E. A., 4 Dec 2019, In: Royal Society Open Science. 6, 12, 1 p., 191986.
Research output: Contribution to journal › Comment/debate › peer-review

Open Access
File
3 Downloads (Pure)
Approach to wide-frequency battery impedance measurements in commercial applications
Sandschulte, A., Ferrero, R., Hardwick, L. & Patelli, E., 14 Nov 2019, (E-pub ahead of print) 2019 IEEE 10th International Workshop on Applied Measurements for Power Systems - Proceedings. Piscataway, NJ: IEEE, 6 p. 8897753
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Open Access
File
1 Citation (Scopus)

12 Downloads (Pure)
Bayesian network approach to fault diagnosis of a hydroelectric generation system
Xu, B., Li, H., Pang, W., Chen, D., Tian, Y., Lei, X., Gao, X., Wu, C. & Patelli, E., 31 Oct 2019, In: Energy Science and Engineering. 7, 5, p. 1669-1677 9 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
14 Citations (Scopus)

10 Downloads (Pure)
Efficient training of interval neural networks for imprecise training data
Sadeghi, J., de Angelis, M. & Patelli, E., 31 Oct 2019, In: Neural Networks. 118, p. 338-351 14 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
12 Citations (Scopus)

2 Downloads (Pure)
Extending the survival signature paradigm to complex systems with non-repairable dependent failures
George-Williams, H., Feng, G., Coolen, F. PA., Beer, M. & Patelli, E., 1 Aug 2019, In: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 233, 4, p. 505-519 15 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
9 Citations (Scopus)

5 Downloads (Pure)
On the dimensionality of inference in credal nets with interval probabilities
de Angelis, M., Estrada Lugo, H. D., Patelli, E. & Ferson, S., 4 Jul 2019. 1 p.
Research output: Contribution to conference › Poster › peer-review
Mathematical model and parametric uncertainty analysis of a hydraulic generating system
Xu, B., Chen, D., Patelli, E., Shen, H. & Park, J. H., 30 Jun 2019, In: Renewable Energy. 136, p. 1217-1230 14 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
17 Citations (Scopus)

2 Downloads (Pure)
Black-box propagation of failure probabilities under epistemic uncertainty
De Angelis, M., Ferson, S., Patelli, E. & Kreinovich, V., 24 Jun 2019, Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019. Papadrakakis, M., Papadopoulos, V. & Stefanou, G. (eds.). Athens, p. 713-723 11 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
4 Citations (Scopus)
Machine-learning tool for human factors evaluation - application to lion air Boeing 737-8 max accident
Morais, C., Yung, K. & Patelli, E., 24 Jun 2019, Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019. Papadrakakis, M., Papadopoulos, V. & Stefanou, G. (eds.). Athens, p. 498-508 11 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Open Access
File
1 Citation (Scopus)

3 Downloads (Pure)
Uncertainty quantification of optimal threshold failure probability for predictive maintenance using confidence structures
Lye, A., Cicirello, A. & Patelli, E., 24 Jun 2019, Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019. Papadrakakis, M., Papadopoulos, V. & Stefanou, G. (eds.). Athens, p. 620-628 9 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Open Access
File
4 Downloads (Pure)
Robust on-line diagnosis tool for the early accident detection in nuclear power plants
Tolo, S., Tian, X., Bausch, N., Becerra, V., Santhosh, T. V., Vinod, G. & Patelli, E., 1 Jun 2019, In: Reliability Engineering and System Safety. 186, p. 110-119 10 p.
Research output: Contribution to journal › Article › peer-review
20 Citations (Scopus)

Edoardo Patelli

Research output

Search results