移动式电缆故障诊断定位中的信号检测及增强技术研究

Research on signal detection and enhancement technology in mobile cable fault diagnosis and location

移动式电缆故障关系着人们的用电需求和安全性,还会增加维修费用和时间成本。本文将改进ICA信号检测算法与ne-TGCA算法相结合,在减少环境噪声干扰基础上提高了对有用信号的提取,同时优化了故障电缆设备检测技术。结果表明,改进ICA算法在小波变化下的重构信号的去噪效果明显,测量误差由0.5%下降至0.12%-0.35%,提高了数值的稳定性和完整性。且ne-TGCA算法在模拟实验中的演化代数变化和适应度变化曲线都有良好的运行效果。故融合ICA算法和ne-TGCA算法能加快对移动式电缆的故障诊断和信号检测技术,有助于提高我国电力系统运行的能力,加强对电力电缆的维修和管理。

Mobile cable failure is not only related to people's power demand and safety,but also increases the maintenance cost and time cost.This paper combines the improved ICA signal detection algorithm with NE tgca algorithm,improves the extraction of useful signals on the basis of reducing the interference of environmental noise,and optimizes the detection technology of faulty cable equipment.The results show that the denoising effect of the reconstructed signal of the improved ICA algorithm under wavelet change is obvious,and the measurement error is reduced from 0.5%to 0.12%-0.35%,which improves the stability and integrity of the value.And the ne tgca algorithm has good running effect in the evolution algebra change and fitness change curve in the simulation experiment.Therefore,the integration of ICA algorithm and NE tgca algorithm to speed up the fault diagnosis and signal detection technology of mobile cables will help to improve the operation ability of China's power system and strengthen the maintenance and management of power cables.