| Robust signal reconstruction for condition monitoring of industrial components via a modified Auto Associative Kernel Regression method P Baraldi, F Di Maio, P Turati, E Zio Mechanical Systems and Signal Processing 60, 29-44, 2015 | 64 | 2015 |
| Simulation-based exploration of high-dimensional system models for identifying unexpected events P Turati, N Pedroni, E Zio Reliability Engineering & System Safety 165, 317-330, 2017 | 32 | 2017 |
| Advanced RESTART method for the estimation of the probability of failure of highly reliable hybrid dynamic systems P Turati, N Pedroni, E Zio Reliability Engineering & System Safety 154, 117-126, 2016 | 25 | 2016 |
| Interacting multiple-models, state augmented Particle Filtering for fault diagnostics M Compare, P Baraldi, P Turati, E Zio Probabilistic Engineering Mechanics 40, 12-24, 2015 | 25 | 2015 |
| Adaptive simulation for failure identification in the Advanced Lead Fast Reactor European Demonstrator P Turati, A Cammi, S Lorenzi, N Pedroni, E Zio Progress in Nuclear Energy 103, 176-190, 2018 | 24 | 2018 |
| An adaptive simulation framework for the exploration of extreme and unexpected events in dynamic engineered systems P Turati, N Pedroni, E Zio Risk analysis 37 (1), 147-159, 2017 | 18 | 2017 |
| An entropy-driven method for exploring extreme and unexpected accident scenarios in the risk assessment of dynamic engineered systems P Turati, N Pedroni, E Zio Safety and Reliability of Complex Engineered Systems: ESREL, 761-769, 2015 | 9 | 2015 |
| A modified Auto Associative Kernel Regression method for robust signal reconstruction in nuclear power plant components P Baraldi, F Di Maio, P Turati, E Zio Proc. Eur. Saf. Rel. Conf.(ESREL), 917-922, 2014 | 8 | 2014 |
| Dimensionality reduction of the resilience model of a critical infrastructure network by means of elementary effects sensitivity analysis P Turati, N Pedroni, E Zio European Safety and RELiability Conference (ESREL) 2016, 2797-2804, 2016 | 6 | 2016 |
| Prediction capability assessment of data-driven prognostic methods for railway applications F Di Maio, P Turati, E Zio PHM Society European Conference 3 (1), 2016 | 4 | 2016 |
| Knowledge‐driven System Simulation for Scenario Analysis in Risk Assessment P Turati, N Pedroni, E Zio Knowledge in Risk Assessment and Management, 165-219, 2018 | 2 | 2018 |
| Méthodes de simulation adaptative pour l’évaluation des risques de système complexes. P Turati Université Paris Saclay (COmUE), 2017 | | 2017 |
| Nuclear engineering A modified Auto Associative Kernel Regression method for robust signal reconstruction in Nuclear Power Plant components P Baraldi, F Di Maio, P Turati, E Zio Safety and Reliability: Methodology and Applications, 953-958, 2014 | | 2014 |
| Autoassociative kernel based and Bayesian filter based fault detection in industrial components P TURATI Politecnico di Milano, 2012 | | 2012 |
| An adaptive simulation framework for the efficient, semi-automatic exploration of extreme and unexpected events in the... P Turati, N Pedroni, E Zio | | |
| Adaptive Simulation Methods for Risk Assessment of Complex Systems P Turati | | |
| Safety and Reliability: Methodology and Applications P Baraldi, F Di Maio, P Turati, E Zio | | |
Nicola PedroniAssociate professor, HDR, Politecnico di Torino (Torino, Italy)在 polito.it 的电子邮件经过验证
Nicola PedroniAssociate professor, HDR, Politecnico di Torino (Torino, Italy)在 polito.it 的电子邮件经过验证
Piero BaraldiPolitecnico di Milano在 polimi.it 的电子邮件经过验证