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Within the shale-dominant interval (sh3) just above the hanging wall damage zone, structures resemble the dense cleavage development seen in sh1 and sh2 but are more disturbed due to increasing faults and fractures (Figure 3).
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Increasing fault tolerance requires more transmission power.
When compared with overhead lines, the peak |dv/dt| values observed in cables drop rapidly with the increasing fault resistance.
Numerous studies have shown that the fracture intensity in a fault zone often increases towards the fault core, and with increasing fault displacement (e.g. Faulkner et al. 2011; Hull 1988; Reyer et al. 2012; Shipton et al. 2013).
In this article, we will present a novel framework for increasing fault tolerance and flexibility by solving the problem of hardware/software codesign online.
This paper demonstrates the active SISFCL is a good solution to the problem of increasing fault current, using the real data from South China Grid.
This paper presents the implementation of the coarse-grained reconfigurable architecture (CGRA) DART with on-line error detection intended for increasing fault-tolerance.
Instead of moving sensor information to a central processing unit they use agents to correlate the monitored event data, thus increasing fault tolerance and scalability of the intrusion detection system.
The region will feature three separate availability zones for increased fault tolerance.
Yet, it also requires increased fault detection enabled by more inspection capacity, and thus higher cost.
However, these DGs are intermittent and stochastic in nature, which result in mismatch between generation and demand, increased fault level and degraded performance.
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