HAL Id: hal-01436593
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Submitted on 16 Jan 2017
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An empirical classification-based framework for the safety criticality assessment of energy production
systems, in presence of inconsistent data
Tairan Wang, Vincent Mousseau, Nicola Pedroni, Enrico Zio
To cite this version:
Tairan Wang, Vincent Mousseau, Nicola Pedroni, Enrico Zio. An empirical classification-based framework for the safety criticality assessment of energy production systems, in presence of in- consistent data. Reliability Engineering and System Safety, Elsevier, 2017, 157, pp.139-151.
�10.1016/j.ress.2016.08.021�. �hal-01436593�
An empirical classification-based framework for the safety criticality assessment of energy production systems, in presence of inconsistent
data
Tai-Ran WANG
a, Vincent MOUSSEAU
b, Nicola PEDRONI
a, Enrico ZIO
a,caChair System Science and the Energy Challenge, Fondation Electricité de France (EDF), CentraleSupélec, Université Paris Saclay, Grande Voie des Vignes, 92290 Chatenay-Malabry, France
bLaboratoire Genie Industriel, CentraleSupélec, Université Paris-Saclay, Grande Voie des Vignes, 92290 Chatenay-Malabry, France
cPolitecnico di Milano, Energy Department, Nuclear Section, c/o Cesnef, via Ponzio 33/A , 20133, Milan, Italy, Fax: 39-02- 2399.6309, Phone: 39-02-2399.6340, enrico.zio@polimi.it