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The fault detection performance may be significantly influenced by the dependence/correlation between vibration sources.
A larger value of CFIC implies a better fault detection performance.
The method improves the fault detection performance against uncertain changes, especially the frequent shifts in operating points, or parameter variations.
In this paper, a minimum entropy deconvolution based sinusoidal synthesis (MEDSS) filter is proposed to improve the fault detection performance of the regular sinusoidal synthesis (SS) method.
The fault detection performance is illustrated through two simulated examples, one using synthetic data and the other using simulated continuously stirred tank reactor (CSTR) data.
The fault detection performance of the developed KPLS-based GLRT method is illustrated through a simulated example representing a continuously stirred tank reactor (CSTR).
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Moreover, for each tested load a frequency range providing maximal arc fault detection performances is identified.
The fault detection performances in various flight conditions are evaluated using the parametric simulation.
The study showed that the right choice of these three parameters greatly influences the arc fault detection performances.
Table 7 summarizes the fault detection performances of the bus-protection scheme applied to the non-converter bus, Bus-4.
By applying faults on Bus-1, security of the line protection scheme at R14 and fault detection performances of the bus-protection scheme is evaluated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com