| Advanced line sampling for efficient robust reliability analysis M de Angelis, E Patelli, M Beer Structural safety 52, 170-182, 2015 | 249 | 2015 |
| A reinforcement learning framework for optimal operation and maintenance of power grids R Rocchetta, L Bellani, M Compare, E Zio, E Patelli Applied energy 241, 291-301, 2019 | 247 | 2019 |
| Sampling methods for solving Bayesian model updating problems: A tutorial A Lye, A Cicirello, E Patelli Mechanical Systems and Signal Processing 159, 107760, 2021 | 138 | 2021 |
| On-line Bayesian model updating for structural health monitoring R Rocchetta, M Broggi, Q Huchet, E Patelli Mechanical Systems and Signal Processing 103, 174-195, 2018 | 134 | 2018 |
| Learning from major accidents to improve system design R Moura, M Beer, E Patelli, J Lewis, F Knoll Safety science 84, 37-45, 2016 | 133 | 2016 |
| Engineering analysis with probability boxes: A review on computational methods MGR Faes, M Daub, S Marelli, E Patelli, M Beer Structural Safety 93, 102092, 2021 | 124 | 2021 |
| Imprecise system reliability and component importance based on survival signature G Feng, E Patelli, M Beer, FPA Coolen Reliability Engineering & System Safety 150, 116-125, 2016 | 119 | 2016 |
| Learning from accidents: Interactions between human factors, technology and organisations as a central element to validate risk studies R Moura, M Beer, E Patelli, J Lewis, F Knoll Safety Science 99, 196-214, 2017 | 108 | 2017 |
| General purpose software for efficient uncertainty management of large finite element models E Patelli, HM Panayirci, M Broggi, B Goller, P Beaurepaire, ... Finite elements in analysis and design 51, 31-48, 2012 | 103 | 2012 |
| Assessment of the availability of an offshore installation by Monte Carlo simulation E Zio, P Baraldi, E Patelli International Journal of Pressure Vessels and Piping 83 (4), 312-320, 2006 | 103 | 2006 |
| COSSAN: a multidisciplinary software suite for uncertainty quantification and risk management E Patelli, R Ghanem, D Higdon, H Owhadi Handbook of uncertainty quantification, 1-69, 2016 | 100 | 2016 |
| A power-flow emulator approach for resilience assessment of repairable power grids subject to weather-induced failures and data deficiency R Rocchetta, E Zio, E Patelli Applied energy 210, 339-350, 2018 | 98 | 2018 |
| Simulation methods for system reliability using the survival signature E Patelli, G Feng, FPA Coolen, T Coolen-Maturi Reliability Engineering & System Safety 167, 327-337, 2017 | 95 | 2017 |
| Reliability-based optimal design of nonlinear viscous dampers for the seismic protection of structural systems D Altieri, E Tubaldi, M De Angelis, E Patelli, A Dall’Asta Bulletin of Earthquake Engineering 16, 963-982, 2018 | 91 | 2018 |
| Sensitivity or Bayesian model updating: a comparison of techniques using the DLR AIRMOD test data E Patelli, Y Govers, M Broggi, HM Gomes, M Link, JE Mottershead Archive of Applied Mechanics 87, 905-925, 2017 | 90 | 2017 |
| A multivariate interval approach for inverse uncertainty quantification with limited experimental data M Faes, M Broggi, E Patelli, Y Govers, J Mottershead, M Beer, D Moens Mechanical Systems and Signal Processing 118, 534-548, 2019 | 85 | 2019 |
| Rare event simulation in finite-infinite dimensional space SK Au, E Patelli Reliability Engineering & System Safety 148, 67-77, 2016 | 85 | 2016 |
| OpenCossan: An efficient open tool for dealing with epistemic and aleatory uncertainties E Patelli, M Broggi, M Angelis, M Beer Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and …, 2014 | 80 | 2014 |
| Uncertainty management in multidisciplinary design of critical safety systems E Patelli, DA Alvarez, M Broggi, M Angelis Journal of Aerospace Information Systems 12 (1), 140-169, 2015 | 75 | 2015 |
| Assessment of power grid vulnerabilities accounting for stochastic loads and model imprecision R Rocchetta, E Patelli International Journal of Electrical Power & Energy Systems 98, 219-232, 2018 | 71 | 2018 |
Michael BeerLeibniz Universität Hannover確認したメール アドレス: irz.uni-hannover.de