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Original Articles

Inverse probabilistic modelling of the sources of uncertainty: a non-parametric simulated-likelihood method with application to an industrial turbine vibration assessment

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Pages 937-959 | Received 22 Nov 2007, Accepted 18 Mar 2009, Published online: 16 Sep 2009

Figures & data

Figure 1. Variables and structure of the pre-existing model.

Figure 1. Variables and structure of the pre-existing model.

Figure 2. Left: bladed disk, right: disk sector and blade mesh (11437 nodes).

Figure 2. Left: bladed disk, right: disk sector and blade mesh (11437 nodes).

Figure 3. Percentiles of the vibration amplitude magnification factor vs. the dispersion parameter δ.

Figure 3. Percentiles of the vibration amplitude magnification factor vs. the dispersion parameter δ.

Figure 4. Complete log-likelihood as a function of δ, for n × m = 3 × 77, ns = 50, Nr = 5000.

Figure 4. Complete log-likelihood as a function of δ, for n × m = 3 × 77, ns = 50, Nr = 5000.

Figure 5. Measured and simulated resonance frequencies densities for three sets of 77 resonance frequencies.

Figure 5. Measured and simulated resonance frequencies densities for three sets of 77 resonance frequencies.

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