时域特征向量是利用统计分析方法对OLTC振动信号概率密度函数进行处理后

It is a time domain feature vector after OLTC vibration signal processed using a probability density function obtained by statistical analysis, divided into dimensionless -2 dimensions and types. Select 2 wherein the signal amplitude and energy parameters of the reaction size; root mean square error value t1 and kurtosis T2; select time series signal distribution characteristic response parameter 6: standard deviation t3, peak - t4, t5 peak index , index pulse T6, margin index and waveform index t7 t8.

时域特征向量是利用统计分析方法对OLTC振动信号概率密度函数进行处理后获得的，分为有量纲和无量纲—2种类型。选取2个反应信号幅值和能量大小的特征参数；均方根误差值t1和峭度t2；选取6个反应信号时间序列分布情况的特征参数：标准差t3、峰-峰值t4、峰值指标t5、脉冲指标t6、裕度指标t7和波形指标t8。

Time domain eigenvectors are obtained by using statistical analysis method to process the probability density function of OLTC vibration signals, which can be divided into two types: dimensioned and dimensionless. Two characteristic parameters of response signal amplitude and energy are selected; the RMS error value T1 and kurtosis T2 are selected; six characteristic parameters of response signal time series distribution are selected: standard deviation T3, peak to peak T4, peak index T5, pulse index T6, margin index T7 and waveform index T8.