 | Up a level |
Bi, S, Broggi, M, Wei, P and Beer, M 
ORCID: 0000-0002-0611-0345
(2019)
The Bhattacharyya distance: Enriching the P-box in stochastic sensitivity analysis.
Mechanical Systems and Signal Processing, 129.
pp. 265-281.
Jerez, DJ, Jensen, HA, Beer, M ORCID: 0000-0002-0611-0345 and Broggi, M
(2021)
Contaminant source identification in water distribution networks: A Bayesian framework.
Mechanical Systems and Signal Processing, 159.
p. 107834.
Wei, P, Song, J, Bi, S, Broggi, M, Beer, M ORCID: 0000-0002-0611-0345, Lu, Z and Yue, Z
(2019)
Non-intrusive stochastic analysis with parameterized imprecise probability models: I. Performance estimation.
Mechanical Systems and Signal Processing, 124.
pp. 349-368.
Wei, P, Song, J, Bi, S, Broggi, M, Beer, M ORCID: 0000-0002-0611-0345, Lu, Z and Yue, Z
(2019)
Non-intrusive stochastic analysis with parameterized imprecise probability models: II. Reliability and rare events analysis.
Mechanical Systems and Signal Processing, 126.
pp. 227-247.
Rocchetta, R ORCID: 0000-0002-8117-8737, Broggi, M, Huchet, Q and Patelli, E ORCID: 0000-0002-5007-7247
(2018)
On-line Bayesian model updating for structural health monitoring.
Mechanical Systems and Signal Processing, 103.
pp. 174-195.
Miro, S, Willeke, T, Broggi, M, Seume, JR and Beer, M ORCID: 0000-0002-0611-0345
(2019)
Reliability Analysis of an Axial Compressor Based on One-Dimensional Flow Modeling and Survival Signature.
ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING, 5 (3).
Patelli, E ORCID: 0000-0002-5007-7247, Alvarez, DA, Broggi, M and de Angelis, M ORCID: 0000-0001-8851-023X
(2015)
Uncertainty management in multidisciplinary design of critical safety systems.
Journal of Aerospace Information Systems, 12 (1).
pp. 140-169.
Faes, M, Broggi, M, Patelli, E ORCID: 0000-0002-5007-7247, Govers, Y, Mottershead, J ORCID: 0000-0003-1279-2562, Beer, M ORCID: 0000-0002-0611-0345 and Moens, D
(2019)
A multivariate interval approach for inverse uncertainty quantification with limited experimental data.
Mechanical Systems and Signal Processing, 118.
pp. 534-548.