A Tutorial on Bayesian Networks for System Health Management

Arthur Choi, University of California, Los Angeles
Lu Zheng, Carnegie Mellon University
Adnan Darwiche, University of California, Los Angeles
Ole J. Mengshoel, Carnegie Mellon University

Abstract

Bayesian networks have established themselves as an indispensable tool in artificial intelligence, and are being used effectively by researchers and practitioners more broadly in science and engineering. The domain of system health management, including diagnosis, is no exception. In fact, diagnostic applications have driven much of the developments in Bayesian networks over the past few decades. In this chapter, we provide a gentle and accessible introduction to modeling and reasoning with Bayesian networks, with the domain of system health management in mind.