The phrase "accuracy fault" is correct and usable in written English.
It can be used in contexts where you are discussing errors or issues related to precision or correctness, particularly in technical or analytical fields.
Example: "The accuracy fault in the data analysis led to incorrect conclusions being drawn from the research."
Alternatives: "precision error" or "correctness issue".
Fault-point data are essential to ensure the accuracy of fault modeling; the fault model established in this study is a general model and is suitable for the study area.
The estimation accuracy of fault area depends on the fault detection algorithm, the phase synchronization of the Global Positioning System (GPS) and the sampling frequency of Digital Fault Recorders (DFR) [22, 29]. Figure 4 illustrates a simple 2-bus transmission system to estimate the fault area using traveling wave.
To improve the accuracy of fault location, this paper presents a novel scheme, where two Digital Fault Recorders (DFRs) are installed in a line.
To compare the accuracy of fault location based on different methods, the percentage error is determined as: % Error=frac{L_{Estimation}-{L}_{Actual}}{L_{ Line}}*100 (9).
Different factors affecting the accuracy of fault location.
If the greater number of PMUs is installed in modeled system, the accuracy of fault area estimation will increase greatly.
It can also be applied for the entire shaft system bearing load distribution study with high accuracy and fault tolerant.
However, the fixed basis functions which are not related to the given signal may lower the accuracy of fault detection.
As a result, the accuracy of fault area estimation tends to be very high (91%) for the all cases considered in this study.
The application of artificial intelligence will improve the speed and accuracy of fault detection and analysis, which represents the future development of an intelligent diagnosis system.
