Parametric sensitivity and uncertainty propagation in dependability models

TitleParametric sensitivity and uncertainty propagation in dependability models
Publication TypeConference Paper
Year of Publication2017
AuthorsR Pinciroli, KS Trivedi, and A Bobbio
Conference NameValuetools 2016 10th Eai International Conference on Performance Evaluation Methodologies and Tools
Date Published01/2017
Abstract

Copyright © 2016 EAI. Input parameters of dependability models are often not known accurately. Two principal methods of dealing with such parametric uncertainty are: sensitivity analysis and uncertainty propagation. This paper is an initial attempt to link the two approaches. The case-study used here (i.e., the multi-voltage propulsion system for the Italian High Speed Railway) also enhances the model presented in [6].

DOI10.4108/eai.25-10-2016.2266529