Application of a modeling and simulation framework for assessing the impact of diagnostics on life-cycle cost and availability

The use of complex technologies, including mechanical and electronic components, doesn’t often permit an early and effective detection of the failures. This tendency underlines the necessity to enrich the probabilistic analysis, based solely on a-priori information, with diagnostic methodologies and systems implementing them, leveraging on a-posteriori knowledge of components’ behavior. The goal of this study is to propose a modeling and simulation framework to operate a technical and an economic comparison between two configurations: with or without diagnostic support.