本论文以 DSP 和计算机为硬件平台，以小波分析和人工神经网络为理论基础，设计了基于 TMS320F2812 的数据采集模块，对故障识别方法进行了深入研究，实现了电力电缆典型故障的识别。-Based on the hardware platform of DSP system & computer and the theory of wavelet analysis & artificial neural network, this paper designs the data acquisition module by using TMS320F2812. It gives a profound study in fault recognition technology. It achieves fault recognition and classification of the typical power cable fault.