An empirical classification-based framework for the safety criticality assessment of energy production systems, in presence of inconsistent data

Tai-Ran Wang, Vincent Mousseau, Nicola Pedroni and Enrico Zio

Reliability Engineering and System Safety, 2017, vol. 157, issue C, 139-151

Abstract: The technical problem addressed in the present paper is the assessment of the safety criticality of energy production systems. An empirical classification model is developed, based on the Majority Rule Sorting method, to evaluate the class of criticality of the plant/system of interest, with respect to safety. The model is built on the basis of a (limited-size) set of data representing the characteristics of a number of plants and their corresponding criticality classes, as assigned by experts.

Keywords: Safety-criticality; Classification model; Data consistency validation; Confidence estimation; MR-Sort; Nuclear power plants (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:157:y:2017:i:c:p:139-151

DOI: 10.1016/j.ress.2016.08.021

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