Dataset for internal corrosion using a Dynamic Object Oriented Bayesian Network (DOOBN)

Published: 17 February 2023| Version 1 | DOI: 10.17632/c5pt7m6bch.1
Contributor:
Uyen Dao

Description

This dataset provides the probabilistic relationships between the variables used in the development of DOOBN for assessing the risk asset failure due to internal corrosion.

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Institutions

Memorial University of Newfoundland

Categories

Object Oriented Programming, Corrosion Mechanism, Abrasive Wear, Bayesian Network, Risk, Dynamic Analysis

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