Probabilistic model data of time-dependent accident scenarios for a mixing tank mechanical system - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Data in Brief Année : 2019

Probabilistic model data of time-dependent accident scenarios for a mixing tank mechanical system

(1, 2) , (3) , (2) , (4)
1
2
3
4

Résumé

This article presents the risk assessment of a mixing tank mechanical system based on the failure probabilities of the components. Possible component failures can cause accidents which evolve over multiple time stages and can lead to system failure. The consequences of these accident scenarios are analyzed by quantifying the failure probabilities and severity of their outcomes. Illustrative costs and updated failure probabilities are provided to evaluate preventive safety measures. Data refers to the results of the Bayesian model presented in our research article (Mancuso et al., 2019).

Dates et versions

hal-02432529 , version 1 (08-01-2020)

Identifiants

Citer

Alessandro Mancuso, Michele Compare, Ahti Salo, Enrico Zio. Probabilistic model data of time-dependent accident scenarios for a mixing tank mechanical system. Data in Brief, 2019, 25, pp.104243. ⟨10.1016/j.dib.2019.104243⟩. ⟨hal-02432529⟩
19 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook Twitter LinkedIn More