Paper Title
A Bayesian Network Model for Health Management Applied to Combustion Turbines

Combustion Turbines are critical systems that consists of complex, expensive and precise elements operating at high pressure and temperature. Failure or degradation of performance influences production capabilities and can put people's safety at risk. Therefore, a health management system is needed to detect and locate the failure in real time. In this paper, we focus on the Health Management of the Combustion Turbines. The task of this Health Management is to monitor the status of the system components based on observations from sensors and appearance contexts, and it is designed by means of Bayesian Networks arising from the Failure Analysis. Keywords - Health Management, Bayesian Network, Combustion Turbine, Failure Analysis.