形态小波在低压系统短路故障早期检测中的DSP实现

本文将具有多结构元素的广义形态开滤波器作为三次B样条二进小波变换的前置滤波单元,形成一种新型的形态小波滤波器,并应用于低压系统短路故障早期检测中.该滤波器可以较好地抑制各种噪声、保护故障特征,并从整体上降低了算法的复杂程度,使之在硬件上实时实现成为可能.本文研制了以美国TI公司新近推出的TMS320F2812 DSP为核心的短路故障早期检测系统,在此系统上实时实现了上述形态小波滤波算法.计算机仿真及实验结果均证实了该算法能够有效滤除低压系统中常见的白噪声及脉冲噪声,同时也证实了该算法在低压系统短路故障早期检测应用中的有效性.

DSP implementation of morphological wavelet for early detection of short-circuited fault in low-voltage system

A novel type of integrated filtering algorithm named as morphological wavelet filter which combined the quadratic B spline wavelet transform and the complex morphological opening filter with multiple structuring elements is proposed in this paper and its application in the short-circuited fault detection in low-voltage system is also presented. This algorithm has the excellent capability in removing various kinds of interference, protecting the properties of short-circuited fault, and decreasing the computational complexity, moreover, it can be implemented on hardware in real-time. The equipment for short-circuited fault detection based on TI TMS320F2812 DSP is also developed in this paper and the real-time implementation of the proposed algorithm has been realized. The simulating results and the actual system experiments show that the proposed morphological filtering algorithm can be used to effectively remove the white noises and impulsive noises in low-voltage system and the validity of the proposed scheme applied in the short-circuited fault detection is successfully demonstrated.