With respect to the fault time accuracy of power system, the current researches focus on fault location algorithm based on sampled data.
针对电力采集数据故障时刻的精度问题，目前的研究多数关注于基于采集数据的故障时刻提取算法。
In this paper, a new method based on the real annual production and fault time for evaluating operation of wind power plant is presented.
提出了一种基于实际年发电量和故障停运时间来评价风电场实际运行情况的新方法。
Low current earth system goes wrong, and type of failure of the maximal odds is Single-phase earth fault, which occupies 80 percent of all fault time.
单相接地故障是小电流接地系统发生几率最高的故障类型，约占所有故障次数的80%。
Fault sensitive feature is abstracted from high and low frequency of fault residual signal, by which sensor fault time, fault reason, fault degree can be diagnosed.
通过残差信号的故障高低频特性，提取故障敏感特征，实现了传感器故障时间、故障原因、故障程度的诊断。
The proposed method is proved through the experiment and simulation, and it can provide an effective way to improve the fault time accuracy of power sampling system.
实验与仿真结果验证了文中所提出的方法，为提高电力采集系统故障时刻的精度提供了一种有效的途径。
The proposed method is proved through the experiment and simulation, and it can provide an effective way to improve the fault time accuracy of power sampling system.
实验与仿真结果验证了文中所提出的方法，为提高电力采集系统故障时刻的精度提供了一种有效的途径。
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