Dataset for internal corrosion using a Dynamic Object Oriented Bayesian Network

Published: 24 August 2022| Version 1 | DOI: 10.17632/g5h5gktwnd.1
Contributors:
Uyen Dao,
Zaman Sajid,
Faisal Khan,
Yahui Zhang,
Trung Tran

Description

This dataset provides the probabilistic relationships between the variables used in the development of a Dynamic Object Oriented Bayesian Network for assessing the risk of asset failure due to internal corrosion.

Files

Steps to reproduce

This dataset is prepared using expert elicitation technique.

Institutions

Memorial University of Newfoundland

Categories

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

License