Development of advanced mathematical predictive models for assessing damage avoided accidents on potentially-dangerous sea-based energy facility
Year: 2017
Type: conference-paper
Abstract: The article is devoted to the development of mathematical model for assessing the harm accidents on potentially-dangerous sea-based energy object. Made choice of regression mathematical model that best represents the relationship of the integral indicator with a set of risk factors of emergency situations their probabilities. Shows the main parameters of the model and result indicators. A mathematical model in which risk assessment in addition to the probability of the adverse events, risk factors and possible consequences taken into account the vulnerability of the object.
Language: English
Topic: Risk and Safety Analysis
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W2765337998
