An empirical classification-based framework for the safety criticality assessment of energy production systems, in presence of inconsistent data
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- 作者：Tai-Ran Wanga ; Vincent Mousseaub ; Nicola Pedronia ; Enrico Zioa ; c ; enrico.zio@polimi.it" class="auth_mail" title="E-mail the corresponding author
- 关键词：Safety-criticality ; Classification model ; Data consistency validation ; Confidence estimation ; MR-Sort ; Nuclear power plants
- 刊名：Reliability Engineering & System Safety
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：157
- 期：Complete
- 页码：139-151
- 全文大小：2872 K
文摘
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We use a hierarchical framework to represent safety criticality.
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We use an empirical classification model to evaluate safety criticality.
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Inconsistencies in data examples are “resolved” by deleting/relaxing constraints.
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Accuracy and confidence in the class assignments are computed by three methods.
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Method is applied to fictitious Nuclear Power Plants.