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. Wang Jia-le,Wang Hai-yu.Research on Noise Reduction of Fan Fault Signal Based on Wavelet Layered Threshold[J].Science Technology and Engineering,2021,21(8):3112-3117. |
小波分层阈值风机故障信号降噪 |
Research on Noise Reduction of Fan Fault Signal Based on Wavelet Layered Threshold |
投稿时间:2020-06-26 修订日期:2020-12-25 |
DOI: |
中文关键词: 风力发电机 故障信号 小波分层阈值 去噪 |
英文关键词:wind turbine fault signal wavelet layered threshold denoising |
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) |
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中文摘要: |
为解决风力发电机故障信号易受到噪声干扰的问题,提出了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,该方法比较适合于风力发电机故障信号的降噪处理。 |
英文摘要: |
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. |
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