FAULT DIAGNOSIS OF WIND POWER GEARBOX BASED ON SHSVD-AS

被引：0
|
作者：
Ling F. [1 ]
Yang H. [2 ]
Deng A. [1 ]
Wang P. [1 ]
Dong L. [1 ]
Bian W. [1 ]
机构：
[1] National Engineering Research Center of Power Generation Control and Safety, School of Energy and Environment, Southeast University, Nanjing
[2] China Energy Jiangsu Power Co.，Ltd., Nanjing
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2023年 / 44卷 / 06期
关键词：
amplitude suppression; fault diagnosis; gearbox; hard threshold; singular value decomposition; soft threshold; wind turbines;
D O I：
10.19912/j.0254-0096.tynxb.2022-0253
中图分类号：
学科分类号：
摘要：
Aiming at the problems of traditional hard threshold singular value decomposition （HSVD） noise reduction have strong subjectivity，weak adaptability and easy to lose signal characteristics，this paper firstly proposes an adaptive hard threshold selection algorithm. Then，a soft-hard threshold singular value decomposition （SHSVD） denoising method is formed by combining an unequal optimal weight shrinkage of soft threshold singular value decomposition （SSVD） denoising method with HSVD. Finally，this paper creates an amplitude suppression （AS） algorithm to highlight the impact characteristics of fault signal denoised by SHSVD，which is SHSVD-AS. This method is used to analyze the gearbox fault signal of wind power transmission system. The test results of simulation and measured signals both indicate that SHSVD-AS has better performance in wind power gear fault diagnosis than traditional HSVD and VMD-HSVD methods under a strong noise enviroment. © 2023 Science Press. All rights reserved.
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页码：477 / 483
页数：6
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