Zio Enrico

Enrico Zio

Information about the author Enrico Zio will soon be added to the site.
Found 14 papers in total
An Adaptive Simulation Framework for the Exploration of Extreme and Unexpected Events in Dynamic Engineered Systems
An Adaptive Simulation Framework for the Exploration of Extreme and Unexpected Events in Dynamic Engineered Systems
2017
The end states reached by an engineered system during an accident scenario depend not...
Assessing the Performance of a Classification-Based Vulnerability Analysis Model
Assessing the Performance of a Classification-Based Vulnerability Analysis Model
2015
In this article, a classification model based on the majority rule sorting...
A Computational Framework for Prime Implicants Identification in Noncoherent Dynamic Systems
A Computational Framework for Prime Implicants Identification in Noncoherent Dynamic Systems
2015
Dynamic reliability methods aim at complementing the capability of traditional static...
Hierarchical differential evolution for minimal cut sets identification: Application to nuclear safety systems
Hierarchical differential evolution for minimal cut sets identification: Application to nuclear safety systems
2014
In this paper, we present a Hierarchical Differential Evolution (HDE) algorithm for...
Uncertainties in smart grids behavior and modeling: What are the risks and vulnerabilities? How to analyze them?
Uncertainties in smart grids behavior and modeling: What are the risks and vulnerabilities? How to analyze them?
2011
This paper looks into the future world of smart grids from a rather different...
Predicting component reliability and level of degradation with complex-valued neural networks
Predicting component reliability and level of degradation with complex-valued neural networks
2014
In this paper, multilayer feedforward neural networks based on multi‐valued...
Unsupervised spectral clustering for hierarchical modelling and criticality analysis of complex networks
Unsupervised spectral clustering for hierarchical modelling and criticality analysis of complex networks
2013
Infrastructure networks are essential to the socioeconomic development of any country....
Network theory‐based analysis of risk interactions in large engineering projects
Network theory‐based analysis of risk interactions in large engineering projects
2012
This paper presents an approach based on network theory to deal with risk interactions...
A multi‐state model for the reliability assessment of a distributed generation system via universal generating function
A multi‐state model for the reliability assessment of a distributed generation system via universal generating function
2012
The current and future developments of electric power systems are pushing the...
Investigation of uncertainty treatment capability of model‐based and data‐driven prognostic methods using simulated data
Investigation of uncertainty treatment capability of model‐based and data‐driven prognostic methods using simulated data
2013
We look at different prognostic approaches and the way of quantifying confidence in...
Component Criticality in Failure Cascade Processes of Network Systems
Component Criticality in Failure Cascade Processes of Network Systems
2011
In this work, specific indicators are used to characterize the criticality of...
Failure and reliability prediction by support vector machines regression of time series data
Failure and reliability prediction by support vector machines regression of time series data
2011
Support Vector Machines (SVMs) are kernel‐based learning methods, which have...
Some considerations on the treatment of uncertainties in risk assessment for practical decision making
Some considerations on the treatment of uncertainties in risk assessment for practical decision making
2011
This paper discusses the challenges involved in the representation and treatment of...
Randomized flow model and centrality measure for electrical power transmission network analysis
Randomized flow model and centrality measure for electrical power transmission network analysis
2010
Commonly used centrality measures identify the most important elements in networks of...
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