Parametric sensitivity and uncertainty propagation in dependability models
Publication
, Conference
Pinciroli, R; Trivedi, KS; Bobbio, A
Published in: ValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools
January 1, 2017
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].
Duke Scholars
Published In
ValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools
DOI
Publication Date
January 1, 2017
Start / End Page
44 / 51
Citation
APA
Chicago
ICMJE
MLA
NLM
Pinciroli, R., Trivedi, K. S., & Bobbio, A. (2017). Parametric sensitivity and uncertainty propagation in dependability models. In ValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools (pp. 44–51). https://doi.org/10.4108/eai.25-10-2016.2266529
Pinciroli, R., K. S. Trivedi, and A. Bobbio. “Parametric sensitivity and uncertainty propagation in dependability models.” In ValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools, 44–51, 2017. https://doi.org/10.4108/eai.25-10-2016.2266529.
Pinciroli R, Trivedi KS, Bobbio A. Parametric sensitivity and uncertainty propagation in dependability models. In: ValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools. 2017. p. 44–51.
Pinciroli, R., et al. “Parametric sensitivity and uncertainty propagation in dependability models.” ValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools, 2017, pp. 44–51. Scopus, doi:10.4108/eai.25-10-2016.2266529.
Pinciroli R, Trivedi KS, Bobbio A. Parametric sensitivity and uncertainty propagation in dependability models. ValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools. 2017. p. 44–51.
Published In
ValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools
DOI
Publication Date
January 1, 2017
Start / End Page
44 / 51