基于鱼VMD算法结合自适应过和波形值的变压器部分排放的Denoising方法
Zhongdong Wu1, Zhuo Zhang1, Li Zheng1
1School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Sensors (Basel, Switzerland)
|October 14, 2023
概括
本研究引入了一种用于变压器部分放电 (PD) 信号的新型无声化方法. 鱼VMD算法与自适应过和波段值 (WVNW) 结合,有效地消除噪声,同时保留关键的PD信号特征.
科学领域:
- 电气工程 电气工程
- 信号处理 信号处理
- 材料科学 材料科学 材料科学
背景情况:
- 部分放电 (PD) 是变压器绝缘降解的一个关键因素.
- 在PD信号中的噪音污染使分析和处理复杂化.
- 精确的PD信号提取对于变压器健康监测至关重要.
研究的目的:
- 开发一种有效的对变压器部分放电信号噪声的无声化方法.
- 为了提高PD信号分析和特征提取的准确性.
- 为了提高变压器绝缘状况评估的可靠性.
主要方法:
- 鱼优化算法 (WOA) 用于变化模式分解 (VMD) 参数的优化.
- 对于VMD模式组件的初步禁用,使用Kurtosis标准.
- 非线性最小平均平方 (NLMS) 适应性过用于窄带噪声去除.
- 波段值用于消除残留的白噪声.
- 拟议的方法:鱼VMD (WVMD) +自适应过器 (NLMS) +波纹值 (WT) (WVNW).
主要成果:
- 与VMD-WT和EMD-WT相比,WVNW方法证明了优越的降噪.
- 定量指标 (SNR,RMSE,NCC,NRR) 证实了拟议方法的有效性.
- 在恢复原来的PD信号时,实现了高波形相似性.
- 观察到重要的局部放电信号特征的保存.
结论:
- WVNW方法提供了一个强大的解决方案,用于消除变压器部分放电信号的噪声.
- 这种技术提高了准确分析和解释PD数据的能力.
- 拟议的方法有助于改进变压器绝缘监测和维护策略.
关键词:
这是VMD的VMD.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,适应性过是一种自适应性过.拒绝的意思是拒绝.部分放电部分放电变压器的变压器是一个变压器.更多相关视频
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