基于Mask R-CNN的电力关键设备载波运行状态检测  

Carrier operation state detection of key power equipment based on Mask R-CNN

作　　者：杜海红 陈黎明 王冬冬 石卓 DU Haihong;CHEN Liming;WANG Dongdong;SHI Zhuo(State Grid Anhui Electric Power Co.,Ltd.,Hefei 230041,China;State Grid Fuyang Power Supply Company,Fuyang 236000,China;State Grid Hefei Power Supply Company,Hefei 230061,China)

机构地区：[1]国网安徽省电力有限公司,安徽合肥230041 [2]国网阜阳供电公司,安徽阜阳236000 [3]国网合肥供电公司,安徽合肥230061

出　　处：《电子设计工程》2024年第5期100-103,108,共5页Electronic Design Engineering

摘　　要：为解决因载波信号大幅波动造成的电力设备运行状态检测失准问题,提出基于Mask R-CNN的电力关键设备载波运行状态检测方法。在Mask R-CNN网络模型中,通过定义小波基向量的方法确定电力载波暂态系数的计算结果。联合电量阻抗特征,求解连续阈值区间表达式,将获取到的电力载波信号放置在已定义阈值区间内。计算奇异值检测系数的取值条件,完成电力关键设备载波运行状态检测。对比实验结果表明,所提方法可以将电力载波信号波动幅值控制在±17 dB之间,对载波信号波动行为起到了明显的抑制作用,能够提升电网主机对电力设备运行状态检测的准确性。In order to solve the problem of inaccurate detection of power equipment operation state caused by large fluctuation of carrier signal,a carrier operation state detection method of key power equipment based on Mask R-CNN is proposed.In the Mask R-CNN network model,the calculation results of power carrier transient coefficients are determined by defining wavelet basis vectors.Combined with the characteristics of electric impedance,the expression of continuous threshold interval is solved,and the obtained power carrier signal is placed in the defined threshold interval.Calculate the value conditions of singular value detection coefficient,and complete the carrier operation state detection of key power equipment.Comparative experimental results:the proposed method can control the fluctuation amplitude of power carrier signal within±17 dB,significantly suppress the fluctuation behavior of carrier signal,and improve the detection accuracy of power grid host on the running state of power equipment.

关 键 词：Mask R-CNN算法 电力载波 运行状态 小波基 暂态系数 阈值区间 

分 类 号：TN722[电子电信—电路与系统]