摘要
为提高在线检测tanδ的精度,提出了改进测量系统软件来分解消噪采集数据的方法。分析了tanδ的概念与干扰的成因后,阐述了用小波变换和正弦波参数法去除电磁干扰的数学原理并设计了数据处理的算法流程。仿真算例通过计算、比较小波引入前后测量值δ的误差证明小波技术改善原有消噪算法后可减小误差、提高精确度。
The value of tgδof HV capacitive type equipment is quite small, and the working environments are disturbed with serious electromagnetic noises, it is difficult for measurement on site with higher accurate. Aim at the main reason that error is due to more complex noises mixed in collected data, wavelet theory added to software part of the measurement process to discompose and denoise the data is proposed. The tanδtconcept and the form of disturbed noise are introduced. The principal mathematical theories of wavelet transform and sin-wave parameters for denoising are introduced too. Algorithmic flow of data process is designed. Simulation figures demonstrate the ability and the feasibility of wavelet denoising. According to contrast of two errors of δ, that one is derived from data process with wavelet denoising and the other is without wavelet denoising, it indicates that wavelet can improve the former denoise algorithm, reduce error and get higher accuracy.
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2006年第3期45-48,共4页
High Voltage Engineering
关键词
电容设备
小波消噪
正弦波参数法
TANΔ
在线检测
capacitive type equipments
wavelet denoising
sin-wave parameter Method
dielectric loss tangent （ tanδ）
on-site measurement
