Exact(2)
In Table-I, the positive values of ϕ 1 and ϕ 2 measured after one cycle of fault inception indicates that the fault is in Fx side i.e., reverse side of relay, which is correct.
In the first-peak non-limiting type superconductor-triggered fault current limiter (STFCL), which was developed by the collaborative work of KEPRI and LSIS, the first half cycle of fault currents is passed, unlimited.
Similar(58)
Breccia textures of the veins also reflect repeated cycles of fault reactivation and mineral precipitation.
These features are witnesses of a large range of circulation/sealing mechanisms, as well as changes in fluid chemistry and thermodynamic state of the system, providing evidence for (i) the evolution of the fluid through a pathway from depth to the surface and (ii) different cycles of fault opening and sealing.
DFF is used to extract distinctive fault features from 1/4 cycle of post fault signals after noise and the decaying DC offset have been eliminated by a filtering scheme based on SWT.
The magnetic flux density in the air-gapped CT model reaches a maximum value of 1.657 T after the second cycle of the fault, and then the amplitude of the flux density gradually becomes smaller due to the decay of the DC component, and the transformer does not saturate.
Typically, the largest magnitude trench-slope aftershocks are much smaller than the underthrusting mainshocks, and the primary interest in these events has been for quantifying aspects of the stress variations associated with the seismic cycle of megathrust faults and the relative importance of dynamic and bending stresses (e.g., Dmowska et al., 1988; Lay et al., 1989; Taylor et al., 1996).
It is observed that, in full cycle window mode, the RTT for corresponding phase of the distribution line under fault is obtained within one cycle (20 ms) of fault incipient.
For the WSCC nine bus system, the fault detection was accomplished successfully within one-half cycle of nominal frequency (after fault inception), and fault classification and location were also completed within 2 cycles of the nominal frequency.
The proposed scheme detects and classifies the fault using only 8 samples from power cycle and the average of fault detection time is 1.25 ms.
Finally, these sub-BPNNs can be employed to classify instances by fed with a few cycles of post-fault data and output final prediction results based on majority voting.
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