首页 | 本学科首页   官方微博 | 高级检索  
     检索      

小波分层阈值风机故障信号降噪
引用本文:王嘉乐,王维庆,王海云.小波分层阈值风机故障信号降噪[J].科学技术与工程,2021,21(8):3112-3117.
作者姓名:王嘉乐  王维庆  王海云
作者单位:新疆大学电气工程学院,乌鲁木齐830047
基金项目:国家自然科学基金项目(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.

关 键 词:风力发电机  故障信号  小波分层阈值  去噪
收稿时间:2020/6/26 0:00:00
修稿时间:2020/12/25 0:00:00

Research on Noise Reduction of Fan Fault Signal Based on Wavelet Layered Threshold
Wang Jiale,Wang Weiqing,Wang Haiyun.Research on Noise Reduction of Fan Fault Signal Based on Wavelet Layered Threshold[J].Science Technology and Engineering,2021,21(8):3112-3117.
Authors:Wang Jiale  Wang Weiqing  Wang Haiyun
Institution:School of Electrical Engineering,Xinjiang University,Urumqi,830047;chian
Abstract:In order to solve the problem that the wind turbine fault signal is susceptible to noise interference, a wavelet layered threshold noise reduction method is proposed. By constructing a continuous and derivable wavelet layered threshold function at the threshold, the simulation signal is used in MATLAB to verify, and different noise reduction methods are compared with the method used in this paper. The results of simulation experiments show that this method is more suitable For noise reduction processing of wind turbine fault signal.
Keywords:wind turbine  fault signal  wavelet layered threshold  denoising
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《科学技术与工程》浏览原始摘要信息
点击此处可从《科学技术与工程》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号