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Enrico Zio
Enrico Zio
Professor Mines Paris/PSL and Politecnico di. Milano
Verified email at mines-paristech.fr
Title
Cited by
Cited by
Year
Artificial intelligence for fault diagnosis of rotating machinery: A review
R Liu, B Yang, E Zio, X Chen
Mechanical Systems and Signal Processing 108, 33-47, 2018
20222018
Reliability engineering: Old problems and new challenges
E Zio
Reliability engineering & system safety 94 (2), 125-141, 2009
11582009
Monte carlo simulation: The method
E Zio, E Zio
The Monte Carlo simulation method for system reliability and risk analysis …, 2013
7752013
Condition-based maintenance optimization by means of genetic algorithms and Monte Carlo simulation
M Marseguerra, E Zio, L Podofillini
Reliability Engineering & System Safety 77 (2), 151-165, 2002
5272002
A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer
A Altan, S Karasu, E Zio
Applied Soft Computing 100, 106996, 2021
5262021
Challenges in the vulnerability and risk analysis of critical infrastructures
E Zio
Reliability Engineering & System Safety 152, 137-150, 2016
4902016
Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice
E Zio
Reliability Engineering & System Safety 218, 108119, 2022
4312022
Particle filtering prognostic estimation of the remaining useful life of nonlinear components
E Zio, G Peloni
Reliability Engineering & System Safety 96 (3), 403-409, 2011
4272011
Some considerations on the treatment of uncertainties in risk assessment for practical decision making
T Aven, E Zio
Reliability Engineering & System Safety 96 (1), 64-74, 2011
4152011
The future of risk assessment
E Zio
Reliability Engineering & System Safety 177, 176-190, 2018
4122018
A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system
E Zio, F Di Maio
Reliability Engineering & System Safety 95 (1), 49-57, 2010
4022010
An introduction to the basics of reliability and risk analysis
E Zio
World scientific, 2007
4002007
Remaining useful life prediction based on a double-convolutional neural network architecture
B Yang, R Liu, E Zio
IEEE Transactions on Industrial Electronics 66 (12), 9521-9530, 2019
3662019
Failure and reliability prediction by support vector machines regression of time series data
M das Chagas Moura, E Zio, ID Lins, E Droguett
Reliability Engineering & System Safety 96 (11), 1527-1534, 2011
3202011
Multiobjective optimization by genetic algorithms: application to safety systems
PG Busacca, M Marseguerra, E Zio
Reliability Engineering & System Safety 72 (1), 59-74, 2001
3192001
Optimizing maintenance and repair policies via a combination of genetic algorithms and Monte Carlo simulation
M Marseguerra, E Zio
Reliability Engineering & System Safety 68 (1), 69-83, 2000
3142000
Challenges to IoT-enabled predictive maintenance for industry 4.0
M Compare, P Baraldi, E Zio
IEEE Internet of Things Journal 7 (5), 4585-4597, 2019
2942019
Remaining useful life prediction using multi-scale deep convolutional neural network
H Li, W Zhao, Y Zhang, E Zio
Applied Soft Computing 89, 106113, 2020
2882020
Simulation modelling of repairable multi-component deteriorating systems for ‘on condition’maintenance optimisation
J Barata, CG Soares, M Marseguerra, E Zio
Reliability Engineering & System Safety 76 (3), 255-264, 2002
2872002
Uncertainty in risk assessment: the representation and treatment of uncertainties by probabilistic and non-probabilistic methods
T Aven, P Baraldi, R Flage, E Zio
John Wiley & Sons, 2014
2852014
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