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The presented method uses the knowledge of fault effects on the measured output, when the inputs are successively excited quasi-stationary, to determine the location of the fault.
This scheme allows isolating specific faults in the closed-loop system using a purely data-based approach without requiring prior knowledge of fault history.
The ratio of these two probabilities, G = Pr EOPF|Δ tOPF, EFF /Pr(EOPF|Δ tOPF), represents the probability gain due to the knowledge of fault interaction.
Similar(57)
The knowledge of achievable fault signatures is a valuable information in designing residual generators providing structured residual sets for fault detection and isolation.
But detailed knowledge of the fault structure and how the earthquake's energy propagated — the kind of information that could help scientists better understand the types of quakes that occur in the East, and the damage they might do — requires more and finer data.
Several expressions are provided, depending on a priori knowledge of the fault, which can be employed in a proposed CUSUM-type approximated scheme.
Additionally, the bootstrapping results may eventually be used to incorporate a priori knowledge of the fault plane orientation (in particular dip) in providing better constraints on the moment magnitude for shallow earthquakes.
Although we have limited knowledge of the fault heterogeneity, we propose two observations that is linked to this feature and would help to draw some link between our model and natural reservoir.
Thereupon, the knowledge of the fault current magnitude as well as the dynamic response of the DFIG-WT are crucial for the power system component design and for the validation of its commitment to the grid codes requirements.
To mitigate the risks of employing an inadequate taxonomy, before it was built, we had analysed the domain knowledge of software fault tolerance techniques based on design diversity in depth (e.g. (Elmendorf[1972]; Horning et al.[1974]; Kim[1984]; Laprie et al.[1990]; Lee and Anderson[1990]; Lyu[1996]; Pullum[2001]; Scott et al.[1987])).[1987]
Part of the Imperial fault ruptured during a strong earthquake in May 1940, and the large volume of data generated by this event makes the earthquake significant in the scientific community for improving knowledge of both fault mechanics and repeat events.
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