基于奇异值分解算法的电气设备绝缘介损传感信号检测方法
Detection Method for Insulation Dielectric Loss Sensing Signals of Electrical Equipment Based on Singular Value Decomposition Algorithm
翁良杰 1景瑶 1杨彬彬 2朱俊 1王雄奇1
作者信息
- 1. 国网安徽省电力有限公司超高压分公司,合肥 230000
- 2. 安徽继远软件有限公司,合肥 230000
- 折叠
摘要
针对信号起伏特性冗余,忽略了双重信号噪声的影响,导致检测结果的绝缘介损因数偏差较大的问题,提出基于奇异值分解算法的电气设备绝缘介损传感信号检测方法.构建时序特征窗口平滑处理原始传感信号,分析处理后传感信号的脉冲与高斯双重噪声,分离重构去除相应噪声值,引入奇异值分解算法将绝缘介质电流传感信号分解出来,解析分解信号的形态波计算得到绝缘介损传感信号检测结果.实验结果表明:所提方法应用后得出的检测结果,表现出的绝缘介损因数偏差较小,检测准确度较高,满足了电气设备绝缘性能运维的实际需求.
Abstract
Aiming at the difficulty in analyzing the fluctuation characteristics of signals and ignoring the influence of dual signal noise,which leads to a large deviation in the insulation dielectric loss factor of the detection results,a detection method for electrical equipment insulation dielectric loss sensing signals based on singular value decomposition algorithm is proposed.Construct a temporal feature window to smooth the original sensing signal,analyze the pulse and Gaussian dual noise of the processed sensing signal,separate and reconstruct the corresponding noise values,introduce singular value decomposition algorithm to decompose the insulation medium current sensing signal,and analyze the morphological wave of the decomposed signal to calculate the detection result of the insulation medium loss sensing signal.The experimental results show that the detection results obtained by the proposed method have a small deviation in insulation dielectric loss factor and high detection accuracy,which meets the practical needs of electrical equipment insulation performance operation and maintenance.
关键词
电气设备/设备绝缘介损/传感信号/奇异值分解算法Key words
electrical equipment/equipment insulation dielectric loss/sensing signal/singular value decomposition algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据