自适应S变换在故障测距的应用研究

Research of traveling wave fault location based on adaptive S transform

S变换因其优良的时频特性而在故障定位方面获得了广泛的应用,但由于S变换计算时采用等间隔采样频率点,因而计算量较大,且存在运算速度和测距精度之间的矛盾,即为了提高测距精度必须提高采样频率,但提高采样频率就会降低算法的运算速度,降低了实时性。为此文章提出了一种自适应于测距信号的S变换,该算法针对信号的特定成分进行时频分析,在提高测距精度的基础上,减少了算法运算量,保证了系统的实时性。并对包含噪声情况下该方法的准确度进行了分析验证。实验结果证明,自适应S变换在保证系统实时性的前提下能够有效提高测距精度。

S transform is widely used in fault location due to its time-frequency performance. But because S transform calculation uses the equal interval sampling frequency, so the calculation quantity is very large and there exists a contradiction between the speed and accuracy, namely improving the ranging accuracy must to increase the sampling frequency, but improving the sampling frequency will decrease the speed of com- putation, reduce real time. On the basis of this, an adaptive S transform is proposed to improve the computing speed, real - time performance and reduce occupied storage space based on the existing hardware. And the noise immunity of the method is verified. The experimental results show that the adaptive S transform can effectively improve the accuracy of the measurement system in the premise of ensuring the real - time performance of the system.