Edoardo Patelli

Research Output

Research Output per year

2001 2020

• 79 Article
• 63 Conference contribution book
• 8 Paper
• 1 Chapter
• 3 More
  • 1 Comment/debate
  • 1 Conference article
  • 1 Editorial

Research Output per year

Research Output per year

Search results

• 2020

  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

  Open Access

  File

  • Uncertainty
  • Engineers
  1 Citation (Scopus)

  4 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

  • Earthquake engineering
  • Earthquakes
  • Polynomials
  • Uncertainty
  • Costs

• 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

  • Risk assessment
  • Uncertainty
  • Costs
  • Outages
  • Hazards
  2 Citations (Scopus)

• 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

  • Tunnels
  • Decision trees
  • Geologic models
  • Classifiers
  • Excavation

• 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

  • Risk management
  • Civil engineering
  • Costs
  • Risk perception
  • Risk assessment

• 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

  Open Access

  File

  • Sampling
  • Uncertainty
  5 Citations (Scopus)

  1 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

  • Engineering facilities
  • System stability
  • Mathematical operators
  • Managers
  • Entropy
  2 Citations (Scopus)
• 2019

  A multivariate interval approach for inverse uncertainty quantification with limited experimental data

  Faes, M., Broggi, M., Patelli, E., Govers, Y., Mottershead, J., Beer, M. & Moens, D., 1 Mar 2019, In : Mechanical Systems and Signal Processing. 118, p. 534-548 15 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Uncertainty
  • Availability
  • Markov processes
  23 Citations (Scopus)

  2 Downloads (Pure)

• Approach to wide-frequency battery impedance measurements in commercial applications

  Sandschulte, A., Ferrero, R., Hardwick, L. & Patelli, E., 14 Nov 2019, 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

  • Electrochemical impedance spectroscopy
  • Acoustic impedance
  • Electrochemical devices
  • Phosphates
  • Lithium
  1 Citation (Scopus)

  8 Downloads (Pure)

• A reinforcement learning framework for optimal operation and maintenance of power grids

  Rocchetta, R., Bellani, L., Compare, M., Zio, E. & Patelli, E., 1 May 2019, In : Applied Energy. 241, p. 291-301 11 p.

  Research output: Contribution to journal › Article

  Open Access

  • Reinforcement learning
  • Health
  • Neural networks
  • Operations research
  • Profitability
  28 Citations (Scopus)

• 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

  Open Access

  File

  • Bayesian networks
  • Failure analysis
  • Expert systems
  • Hydraulics
  3 Citations (Scopus)

  3 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

  • Uncertainty
  • Probability distributions
  • NASA
  • Physics
  • Sampling

• 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

  Open Access

  File

• Dynamic safety assessment of a nonlinear pumped-storage generating system in a transient process

  Li, H., Chen, D., Arzaghi, E., Abbassi, R., Kilicman, A., Caraballo, T., Patelli, E., Gao, X. & Xu, B., 28 Feb 2019, In : Communications in Nonlinear Science and Numerical Simulation. 67, p. 192 - 202 11 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Francis turbines
  • Nonlinear systems
  7 Citations (Scopus)

• 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

  Open Access

  File

  • Uncertainty
  • Convergence of numerical methods
  • Neural networks
  • Backpropagation algorithms
  • Constrained optimization
  4 Citations (Scopus)

  1 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

  Open Access

  File

  • Large scale systems
  • Systems engineering
  • Failure modes
  5 Citations (Scopus)

  5 Downloads (Pure)

• Implications of uncertainties on European DEMO design

  Lux, H., Siccinio, M., Biel, W., Federici, G., Kembleton, R., Morris, A. W., Patelli, E. & Zohm, H., 26 Apr 2019, In : Nuclear Fusion. 59, 6, 7 p., 066012.

  Research output: Contribution to journal › Article
  1 Citation (Scopus)

• Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach?

  Faes, M., Broggi, M., Patelli, E., Govers, Y., Mottershead, J., Beer, M. & Moens, D., 26 May 2019. 8 p.

  Research output: Contribution to conference › Paper

  Open Access

  File

  • Uncertainty
  • Markov processes
  • Costs
  4 Downloads (Pure)

• 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

  • Human engineering
  • Accidents
  • Machine learning
  • Air
  • Aircraft models
  2 Downloads (Pure)

• 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

  Open Access

  File

  • Uncertainty analysis
  • Hydraulics
  • Mathematical models
  • Conversion efficiency
  • Uncertainty
  9 Citations (Scopus)

  1 Downloads (Pure)

• 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

  Open Access

  File

  • Supervised learning
  • Numerical models
  5 Citations (Scopus)

  4 Downloads (Pure)

• Priority analysis for risk factors of equipment in a hydraulic turbine generator unit

  Xu, B., Chen, D., Li, H., Zhuang, K., Hu, X., Li, J., Skjelbred, H. I., Kong, J. & Patelli, E., 31 Mar 2019, In : Journal of Loss Prevention in the Process Industries. 58, p. 1-7 7 p.

  Research output: Contribution to journal › Article

  Open Access

  • Hydroelectric generators
  • Fault
  • Expert Elicitation
  • Torsional stress
  • Statistics
  7 Citations (Scopus)

• Probabilistic risk assessment of fire occurrence in residential buildings: application to the Grenfell tower

  Estrada-Lugo, H. D., De Angelis, M. & Patelli, E., 26 May 2019. 8 p.

  Research output: Contribution to conference › Paper

  Open Access

  File

  • Risk assessment
  • Towers
  • Fires
  • Accidents
  • Uncertainty
  1 Citation (Scopus)

  4 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

  Open Access

  File

  • Probability distributions
  • Computational complexity
  • Costs
  2 Citations (Scopus)

  1 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

  • Loss of coolant accidents
  • Nuclear power plants
  • Accidents
  • Heavy water reactors
  • Network architecture
  6 Citations (Scopus)

• Towards a Bayesian framework for model validation

  Gray, A. & Patelli, E., 26 May 2019. 8 p.

  Research output: Contribution to conference › Paper

  Open Access

  File

  • Experiments
  • Entropy
  • Uncertainty
  1 Downloads (Pure)

• Transient stability of a hydro-turbine governing system with different tailrace tunnels

  Zhang, H., Pang, W., Chen, D., Tian, Y., Patelli, E., Li, C. & Zhou, J., 14 Jan 2019, In : Journal of Hydraulic Research . 58, 1, p. 60-69 10 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Tunnels
  • Turbines
  • Water levels
  1 Citation (Scopus)

  14 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

  • Uncertainty
  • Plasma etching
  • Distribution functions
  • Contamination
  • Costs
  2 Downloads (Pure)
• 2018

  An efficient computational strategy for robust maintenance scheduling: application to corroded pipelines

  Patelli, E. & de Angelis, M., 15 Jun 2018, Safety and Reliability - Safe Societies in a Changing World: Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018. Haugen, S., Barros, A., van Gulijk, C., Kongsvik, T. & Vinnem, J. E. (eds.). London, p. 2201-2209 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Pipelines
  • Scheduling
  • Reliability analysis
  • Sampling
  • Costs
  1 Downloads (Pure)

• An efficient method for estimating conditional failure probabilities

  Altieri, D. & Patelli, E., 16 Jul 2018. 6 p.

  Research output: Contribution to conference › Paper

  Open Access

  File

  • Probability density function
  • Sampling
  • Reliability analysis
  • Uncertainty
  • Costs
  2 Downloads (Pure)

• An efficient reliability analysis on complex non-repairable systems with common-cause failures

  Feng, G., George-Williams, H., Patelli, E., Coolen, F. P. A. & Beer, M., 1 Jan 2018, Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018. van Gulijk, C., Haugen, S., Barros, A., Vinnem, J. E. & Kongsvik, T. (eds.). p. 2531-2538 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Reliability analysis
  • Large scale systems
  5 Citations (Scopus)

• An open toolbox for the reduction, inference computation and sensitivity analysis of Credal Networks

  Tolo, S., Patelli, E. & Beer, M., 1 Jan 2018, In : Advances in Engineering Software. 115, p. 126-148 23 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Bayesian networks
  • Sensitivity analysis
  • Uncertainty
  • Costs
  10 Citations (Scopus)

  1 Downloads (Pure)

• A power-flow emulator approach for resilience assessment of repairable power grids subject to weather-induced failures and data deficiency

  Rocchetta, R., Zio, E. & Patelli, E., 15 Jan 2018, In : Applied Energy. 210, p. 339-350 12 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Uncertainty
  • Statistical Models
  • Sensitivity analysis
  • Simulators
  29 Citations (Scopus)

  3 Downloads (Pure)

• A probabilistic metric for the validation of computational models

  Dvurecenska, K., Graham, S., Patelli, E. & Patterson, E. A., 21 Nov 2018, In : Royal Society Open Science. 5, 11, 14 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Structural analysis
  • Decomposition
  • Uncertainty
  • Experiments
  5 Citations (Scopus)

  6 Downloads (Pure)

• Assessment of power grid vulnerabilities accounting for stochastic loads and model imprecision

  Rocchetta, R. & Patelli, E., 30 Jun 2018, In : Electrical Power and Energy Systems. 98, p. 219-232 14 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Uncertainty
  • Outages
  19 Citations (Scopus)

  1 Downloads (Pure)

• Attempt to predict human error probability in different industry sectors using data from major accidents and Bayesian networks

  Morais, C., Moura, R., Beer, M. & Patelli, E., 21 Sep 2018. 11 p.

  Research output: Contribution to conference › Paper

  Open Access

  File

  • Bayesian networks
  • Accidents
  • Industry
  • Engineers
  • Chemical industry
  1 Citation (Scopus)

  2 Downloads (Pure)

• Bayesian networks with imprecise datasets: application to oscillating water column

  Estrada-Lugo, H. D., Patelli, E., de Angelis, M. & Raj, D. D., 15 Jun 2018, Safety and Reliability - Safe Societies in a Changing World: Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018. Haugen, S., Barros, A., van Gulijk, C., Kongsvik, T. & Vinnem, J. E. (eds.). London, p. 2611-2618 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Bayesian networks
  • Random variables
  • Risk assessment
  • Water
  • Uncertainty
  3 Citations (Scopus)

  1 Downloads (Pure)

• Comparison of Bayesian and interval uncertainty quantification: application to the AIRMOD test structure

  Broggi, M., Faes, M., Patelli, E., Govers, Y., Moens, D. & Beer, M., 5 Feb 2018, 2017 IEEE Symposium Series on Computational Intelligence. Piscataway, NJ, 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Uncertainty
  • Numerical models
  • Costs
  • Neural networks
  10 Citations (Scopus)

  1 Downloads (Pure)

• Do we have enough data? Robust reliability via uncertainty quantification

  Rocchetta, R., Broggi, M. & Patelli, E., 1 Feb 2018, In : Applied Mathematical Modelling. 54, p. 710-721 12 p.

  Research output: Contribution to journal › Article

  File

  • Uncertainty
  • Electric power transmission networks
  • Power transmission
  • Networks (circuits)
  12 Citations (Scopus)

  4 Downloads (Pure)

• Dynamic analysis of a pumped-storage hydropower plant with random power load

  Zhang, H., Chen, D., Xu, B., Patelli, E. & Tolo, S., 1 Feb 2018, In : Mechanical Systems and Signal Processing. 100, p. 524-533 10 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Dynamic analysis
  • Penstocks
  • Electric generators
  • Dynamic response
  • Dynamic models
  27 Citations (Scopus)

  8 Downloads (Pure)

• Dynamic evolution of a hydraulic–mechanical–electric system with randomly fluctuating speed

  Xu, B., Chen, D., Gao, X., Tomas, C. & Patelli, E., 1 Jun 2018, In : Nonlinear Dynamics. 92, 4, p. 1801-1813 13 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Electric power systems
  • Statistical Models
  • Hydraulic turbines
  • Polynomial approximation
  6 Citations (Scopus)

  1 Downloads (Pure)

• Effect of load-generation variability on power grid cascading failures

  Rocchetta, R., Patelli, E., Bing, L. & Sansavini, G., 1 Jan 2018, Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018. van Gulijk, C., Haugen, S., Barros, A., Vinnem, J. E. & Kongsvik, T. (eds.). p. 2679-2686 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  • Sensitivity analysis
  • Uncertainty
  • Computer simulation
  1 Citation (Scopus)

• Financially optimal solar power sizing and positioning in a power grid

  Cangul, O., Rocchetta, R., Patelli, E. & Fahrioglu, M., 27 Jun 2018, 2018 IEEE International Energy Conference, ENERGYCON 2018. Piscataway, N.J.: IEEE, 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  • Renewable energy resources
  • Greenhouse gases
  • Solar energy
  • Power generation
  • Genetic algorithms
  2 Citations (Scopus)

• Frequentist history matching with interval predictor models

  Sadeghi, J., Angelis, M. D. & Patelli, E., 1 Sep 2018, In : Applied Mathematical Modelling. 61, p. 29-48 20 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Measurement errors
  7 Citations (Scopus)

• Hamiltonian formulation and analysis for transient dynamics of multi-unit hydropower system

  Li, H., Chen, D., Tolo, S., Xu, B. & Patelli, E., 31 Oct 2018, In : Journal of Computational and Nonlinear Dynamics. 13, 10, 101004.

  Research output: Contribution to journal › Article

  • Hamiltonians
  • Penstocks
  • Water hammer
  • Mathematical models
  • Computer simulation
  4 Citations (Scopus)

• Human reliability analysis-accounting for human actions and external factors through the project life cycle

  Morais, C., Moura, R., Beer, M. & Patelli, E., 15 Jun 2018, Safety and Reliability - Safe Societies in a Changing World: Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018. Haugen, S., Barros, A., van Gulijk, C., Kongsvik, T. & Vinnem, J. E. (eds.). London, p. 329-338 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Reliability analysis
  • Life cycle
  • Bayesian networks
  • Error analysis
  • Nuclear power plants
  1 Downloads (Pure)

• Modelling and simulation activities in support of the UK nuclear R&D programme on digital reactor design

  Lindley, B., Allen, D., Lillington, J., Smethurst, A., Smith, P., Bowman, D., Dwyer, L., Lai, K., Levers, A., Vikhorev, K., Litskevich, D., Merk, B., Patelli, E., Patterson, E., Bankhead, M., Peakman, A., de Haas, S., Jackson, C., Draup, J., Galenne, E. & 3 others, Parks, G., Shwageraus, E. & Eaton, M. D., 24 Oct 2018, 2018 26th International Conference on Nuclear Engineering: Volume 3: Nuclear Fuel and Material, Reactor Physics, and Transport Theory. New York, 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  • Physics
  • Reactor operation
  • Nuclear reactors
  • Brick
  • Graphite
  6 Citations (Scopus)

• Model validation and stochastic stability of a hydro-turbine governing system under hydraulic excitations

  Xu, B., Chen, D., Tolo, S., Patelli, E. & Jiang, Y., 28 Feb 2018, In : Electrical Power and Energy Systems. 95, p. 156-165 10 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Turbines
  • Hydraulics
  • Penstocks
  • Water hammer
  • Polynomial approximation
  40 Citations (Scopus)

  16 Downloads (Pure)

• Multi-objective reliability based design of complex engineering structures using response surface methods

  Celorrio, L. & Patelli, E., 11 Jun 2018, Proceedings of the 6th European Conference on Computational Mechanics Solids, Structures and Coupled Problems, ECCM 2018 and 7th European Conference on Computational Fluid Dynamics, ECFD 2018. Owen, R., de Borst, R., Reese, J. & Pearce, C. (eds.). Barcelona, p. 4052-4062 11 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Multiobjective optimization
  • Towers
  • Evolutionary algorithms
  2 Downloads (Pure)

• On-line Bayesian model updating for structural health monitoring

  Rocchetta, R., Broggi, M., Huchet, Q. & Patelli, E., 15 Mar 2018, In : Mechanical Systems and Signal Processing. 103, p. 174-195 22 p.

  Research output: Contribution to journal › Article

  • Structural health monitoring
  • Cracks
  • Uncertainty
  • Damage detection
  • Numerical models
  30 Citations (Scopus)