小波分层阈值风机故障信号降噪  

Noise Reduction of Fan Fault Signal Based on Wavelet Layered Threshold

作　　者：王嘉乐 王维庆[1] 王海云[1] WANG Jia-le;WANG Wei-qing;WANG Hai-yun(School of Electrical Engineering,Xinjiang University,Urumqi 830047,China)

机构地区：[1]新疆大学电气工程学院,乌鲁木齐830047

出　　处：《科学技术与工程》2021年第8期3112-3117,共6页Science Technology and Engineering

基　　金：国家自然科学基金(51667020);新疆自治区天山雪松计划(2017XS02)。

摘　　要：为剔除风力发电机故障信号中的干扰噪声,提出一种小波分层阈值降噪方法。通过构建一种在阈值处连续且可导的小波分层阈值函数,在MATLAB中采用仿真信号进行验证,采用不同的降噪方法与本文所用方法进行对比分析。仿真实验结果表明,该方法的信噪比为23.6814 dB,均方根误差为0.0258,均优于其他方法,有更好的降噪效果,比较适合风力发电机故障信号的降噪处理。In order to eliminate the interference noise in the wind turbine fault signal,a wavelet layered threshold noise reduction method was proposed.By constructing a wavelet layered threshold function that was continuous and derivable at the threshold,the simulation signal was used for verification in MATLAB,and different noise reduction methods were used to compare and analyze the method.The simulation experiment results show that the method is reliable.The noise ratio is 23.6814 dB,and the root mean square error is 0.0258.It is superior to other methods,has better noise reduction effects,and is more suitable for noise reduction processing of wind turbine fault signals.

关 键 词：风力发电机 故障信号 小波分层阈值 去噪 

分 类 号：TK831[动力工程及工程热物理—流体机械及工程]