The phrase "average fault" is correct and usable in written English.
It can be used in contexts related to statistics, engineering, or discussions about performance metrics where faults or errors are being averaged.
Example: "The average fault in the system was calculated to ensure reliability and performance standards were met."
Alternatives: "mean error" or "typical fault rate".
Fault-zone thicknesses range between ca. 100 and 400 m, and average fault thickness-displacement ratios are around 1 10.
The average fault slip rate since eruption is simply determined by dividing the average offset by the eruption age (Bradley et al. 2017; Sieh and Natawidjaja 2000).
The beach-ball at the (c) displays the average fault plane solution of the two major events and the lower-hemisphere projection of the accelerometric stations.
In both of these examples, the average fault slip rate of the source faults has been difficult to estimate using modern geodetic data because they are so low.
Images of 199 basement-cutting faults reveal an average throw of approximately 120 m and average fault spacing of approximately 2 km.
Table 1 Fault parameters Average failure rate (times/year) Average fault time (hours/time) Turbine 4.600 15 Solar 3.000 20 One transformer fault 0.100 6 Two transformers fault 0.030 10 Three transformers fault 0.001 30.
However, upon the application of a moving average filter, fault conditions can be more straightforwardly detected and diagnosed.
The shallow average receiver fault parameters (226° strike, 70° dip, and 160° rake) are based on the study of Robinson et al. (2011).
After test prioritization, the quality of a ordering can be measured using the Average Percentage Faults Detected (APFD) metric.
Five RBAC policies and fifteen test suites were prioritized using each of the three test prioritization techniques and compared using the Average Percentage Faults Detected metric.
Since some aftershocks locate on or near the megathrust surface and others locate in the outer trench slope or on continental faults (Fig. 1(a)), the 0.4 preference could simply be due to averaging different fault strengths.
