摘要
为了提高井下供电线路故障的定位准确性,提出基于小波变换算法的矿井供电线路故障智能定位方法。首先利用小波分析平滑处理反射信号;其次基于小波变换算法提取线路故障信号的特征;最后采用卷积神经网络建立故障智能检测模型,测算故障特征线性分量的时间差,实现供电线路故障定位。测试结果表明,所提方法提高了线路故障的定位准确性和效率,具有实际应用价值。
In order to improve the accuracy of fault location for underground power supply lines,an intelligent fault location method for mine power supply lines based on wavelet transform algorithm is proposed.Smoothing the reflected signal based on wavelet analysis.Feature extraction of line fault signal based on wavelet transform algorithm.Based on convolutional neural network,an intelligent fault detection model is established to calculate the time difference of the linear component of the fault characteristics and realize the fault location of power supply lines.The test results show that this method improves the accuracy and efficiency of line fault location,and has practical application value.
作者
王永亮
WANG Yongliang(Shaanxi Shanbei Mining Hanjiawan Coal Co.,Ltd.,Yulin 719315,China)
出处
《通信电源技术》
2023年第3期64-67,共4页
Telecom Power Technology
关键词
小波变换算法
供电线路
故障定位
wavelet transform algorithm
power supply line
fault location
