摘要
为了解决在局部放电信号检测中的噪声抑制问题,采用提升小波变换的方法构造小波,在讨论了第二代小波变换基本原理及特点的基础上,将自适应性引入提升小波方案中,提出了第二代小波变换的改进算法,并用先更新后预测的改进提升方案解决因自适应性引起的非线性问题。将提出的改进提升方案应用到局部放电信号的去噪处理中以验证其效果,并将其去噪效果与传统小波变换的去噪效果进行了比较。仿真结果表明,这种经过改进的提升方案取得了比传统小波变换更好的去噪效果。
The lifting wavelet transtorm is employed to construct wavelet to solve the problem of noise reduction in partial discharge （PD） detection. According to the theory and characteristics of the secondgeneration wavelet transform, the improved algorithm is proposed by using adaptive algorithm. The problem of nonlinear caused by adaptive algorithm is solved by using update first lifting scheme. To verify the effectivity of the improved lifting scheme, it is applied in the PD noise reduction. And the results of denoising by using the improved lifting scheme are compared with results of the traditional wavelet transform. The simulated results show that our improved lifting scheme has achieved the noise reduction better than that achieved by traditional wavelet transform.
出处
《电机与控制学报》
EI
CSCD
北大核心
2006年第4期431-434,439,共5页
Electric Machines and Control
关键词
提升小波
自适应
局部放电
去噪
lifting wavelet
adaptive
partial discharge
denoising
