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.
Files
Institutions
Memorial University of Newfoundland
Categories
Object Oriented Programming, Corrosion Mechanism, Abrasive Wear, Bayesian Network, Risk, Dynamic Analysis