供稿: 马星河;王卫星 | 时间: 2018-06-22 | 次数: |
作者单位:河南理工大学电气工程与自动化学院
摘要:为了使煤矿高压电缆稳定运行,保证井下供电安全和高效生产,提出一种煤矿高压电缆在线绝缘监测信号综合去噪算法。以高压电缆局部放电信号的在线绝缘监测系统为基础,提出基于小波和自适应盲源分离法的局部放电信号噪声综合分离去噪算法,并研究了该算法的原理和结构组成。该算法有效提高了高压电缆在线绝缘监测的准确性,可以实现实时监测高压电缆绝缘状况的目的。最后进行了计算机仿真及现场真实模拟电缆绝缘破坏试验,试验结果从不同方面验证了该综合去噪算法的有效性与可行性。
基金:国家自然科学基金-河南联合基金资助项目(U1404522);
Abstract:In order to ensure the stability of coal mine high voltage cable and the safe and efficient production of underground power supply, an online insulation monitoring discharge denoising method is presented for high voltage coal mine. On the basis of the partial discharge signals of high voltage cable online insulation monitoring system, a partial discharge denoising method is designed based on wavelet and adaptive blind source separation method, and the principle and structure of the algorithm is studied in detail. The algorithm effectively improves the accuracy of online insulation monitoring of high voltage cables, and the purpose of realtime monitoring of high voltage cable insulation is achieved. The computer simulations and the field experiments show from different perspectives that the integrated comprehensive denoising is effective and accurate.
Keyword:high-voltage cables in coal mine;insulation detection;partial discharge;comprehensive separation denoising;
DOI:10.16186/j.cnki.1673-9787.2018.03.016
分类号:TM855