@inproceedings{baglietto_bayesian_2018,
	title = {A {Bayesian} {Network} approach for the reliability analysis of complex railway systems},
	doi = {10.1109/ICIRT.2018.8641655},
	abstract = {Railway system is a typical large-scale complex system with interconnected sub-systems, each containing several components. In this framework, cost-effective asset management and innovative smart maintenance strategies require an accurate estimation of the reliability at different levels, according to the system configuration. Moreover, in order to apply risk-based maintenance approaches, techniques for the evaluation of assets criticality, that take into account the causal-effect relation between system components, are necessary. This paper presents a Bayesian Network modeling approach for the reliability evaluation of a complex rail system, which is applied to a real world case study consisting of a railway signaling system, with the aim of showing the usefulness of the approach in achieving a good understanding of the behavior of such a complex system.},
	booktitle = {2018 {International} {Conference} on {Intelligent} {Rail} {Transportation} ({ICIRT})},
	author = {Baglietto, Emanuela and Consilvio, Alice and Febbraro, Angela Di and Papa, Federico and Sacco, Nicola},
	month = dec,
	year = {2018},
	keywords = {Bayes methods, Bayesian Network, Communication system signaling, Complex systems, Maintenance engineering, Rail transportation, Rails, Railway systems, Reliability, asset criticality, complex system, fault analysis, railway, reliability analysis, signalling},
	pages = {1--6},
}

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This paper presents a Bayesian Network modeling approach for the reliability evaluation of a complex rail system, which is applied to a real world case study consisting of a railway signaling system, with the aim of showing the usefulness of the approach in achieving a good understanding of the behavior of such a complex system.","booktitle":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","author":[{"propositions":[],"lastnames":["Baglietto"],"firstnames":["Emanuela"],"suffixes":[]},{"propositions":[],"lastnames":["Consilvio"],"firstnames":["Alice"],"suffixes":[]},{"propositions":[],"lastnames":["Febbraro"],"firstnames":["Angela","Di"],"suffixes":[]},{"propositions":[],"lastnames":["Papa"],"firstnames":["Federico"],"suffixes":[]},{"propositions":[],"lastnames":["Sacco"],"firstnames":["Nicola"],"suffixes":[]}],"month":"December","year":"2018","keywords":"Bayes methods, Bayesian Network, Communication system signaling, Complex systems, Maintenance engineering, Rail transportation, Rails, Railway systems, Reliability, asset criticality, complex system, fault analysis, railway, reliability analysis, signalling","pages":"1–6","bibtex":"@inproceedings{baglietto_bayesian_2018,\n\ttitle = {A {Bayesian} {Network} approach for the reliability analysis of complex railway systems},\n\tdoi = {10.1109/ICIRT.2018.8641655},\n\tabstract = {Railway system is a typical large-scale complex system with interconnected sub-systems, each containing several components. In this framework, cost-effective asset management and innovative smart maintenance strategies require an accurate estimation of the reliability at different levels, according to the system configuration. Moreover, in order to apply risk-based maintenance approaches, techniques for the evaluation of assets criticality, that take into account the causal-effect relation between system components, are necessary. This paper presents a Bayesian Network modeling approach for the reliability evaluation of a complex rail system, which is applied to a real world case study consisting of a railway signaling system, with the aim of showing the usefulness of the approach in achieving a good understanding of the behavior of such a complex system.},\n\tbooktitle = {2018 {International} {Conference} on {Intelligent} {Rail} {Transportation} ({ICIRT})},\n\tauthor = {Baglietto, Emanuela and Consilvio, Alice and Febbraro, Angela Di and Papa, Federico and Sacco, Nicola},\n\tmonth = dec,\n\tyear = {2018},\n\tkeywords = {Bayes methods, Bayesian Network, Communication system signaling, Complex systems, Maintenance engineering, Rail transportation, Rails, Railway systems, Reliability, asset criticality, complex system, fault analysis, railway, reliability analysis, signalling},\n\tpages = {1--6},\n}\n\n","author_short":["Baglietto, E.","Consilvio, A.","Febbraro, A. 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