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a robustness indicator as a value in [0, 1] reflecting the impact that failures in a subsystem X have on another subsystem Y.
From the data generated during the simulation of failure sequences, three main indicators are derived: a robustness indicator as a value in [0, 1] reflecting the impact that failures in a subsystem X have on another subsystem Y.
Final categories were chosen using a robustness indicator (RI; developed by Adams et al., 2006), a measure of how strongly statements group together and, thus, how closely related student thinking is on the statements (see Table 2 for equation).
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Therefore, a simple robustness indicator is formulated to characterize the impact of the number of defective or missing spot welds on the system performance.
The time-to-failure due to rising sludge blanket during overloading, as a key robustness indicator, is analyzed to demonstrate the differences caused by numerical issues in SST models.
We developed the topology robustness indicator (Trio), a prototype that simulates failure sequences.
The service layer of Topology 3 is thus less robust to failure in the infrastructure than the one of Topology 2. This is due to the fact that the robustness indicator is an expected value that combines the impact of each failure sequence with its probability.
Apart from the issues of the most meaningful robustness indicator and the choice of damage thresholds that came up, it is shown that the specimen can be qualified as being robust.
The robustness indicator reflects both the dependencies and the number of components in the system.
The robustness indicator is way to capture and rank alternative topologies with minimal effort.
As this robustness indicator varies according to the number of components in the layers of interest (i.e., services and infrastructure), we normalise it and obtain r s,φ =0.48.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com