An Entropy Based Bayesian Network Framework for System Health Monitoring

Volume: 20, Issue: 6, Pages: 416 - 416
Published: May 30, 2018
Abstract
Oil pipeline network system health monitoring is important primarily due to the high cost of failure consequences. Optimal sensor selection helps provide more effective system health information from the perspective of economic and technical constraints. Optimization models confront different issues. For instance, many oil pipeline system performance models are inherently nonlinear, requiring nonlinear modelling. Optimization also confronts...
Paper Details
Title
An Entropy Based Bayesian Network Framework for System Health Monitoring
Published Date
May 30, 2018
Journal
Volume
20
Issue
6
Pages
416 - 416
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