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Furthermore, average fault spacing of 2 km is on the same order as predicted in some modeling studies (Faccenda et al. 2009), although other models generate larger fault spacing of up to 10 km (Naliboff et al. 2013), which is the maximum fault spacing we observe.
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Fault spacing averages approximately 2 km with a minimum and maximum spacing of 200 to 10 km.
The maximum fault tolerance against network failures can be estimated.
We use the maximum fault length and the maximum slip rate listed in Kumamoto (1997).
A four-stage fault evolution is defined, including early synrift SQ1 (initial isolate faults), early synrift SQ2 (rapid fault propagation), climax synrift SQ3 (maximum fault relief) and late synrift SQ4 (minor fault activity) stages.
The mapping of the fuzzy outputs to the diagnosed fault is accomplished by determining the maximum fault possibility among all fault possibilities.
The increase in the number of faults towards the trench and the range of fault spacing suggests continuous formation of new faults occurs as the Pacific Plate approaches the trench rather than apportioning strain to only major, more widely spaced faults.
Reasonable fault spacing was determined on the basis of fault combinations and width of the shattered zone.
Inverse time overcurrent elements tripped breakers at maximum fault currents in less than 0.5 s.
Therefore, safety critical systems have to meet maximum fault tolerance and reliability requirements.
In statistics, maximum spacing estimation (MSE or MSP), or maximum product of spacing estimation (MPS), is a method for estimating the parameters of a univariate statistical model.
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