邵诚

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:东北大学

学位:博士

所在单位:控制科学与工程学院

学科:控制理论与控制工程. 运筹学与控制论

办公地点:创新园大厦A座722室

电子邮箱:cshao@dlut.edu.cn

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基于蚁群算法的小波降噪双阈值优选方法

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论文类型:期刊论文

发表时间:2022-06-29

发表刊物:控制与决策

卷号:26

期号:1

页面范围:115-119

ISSN号:1001-0920

摘要:By combining correlation analysis method and threshold de-noising method, a method based on ant colony algorithm is given for optimizing wavelet de-noising double-threshold. The reasonable optimization interval is determined according to the characteristic of distributed of noise. The objective function is chosen according to the difference of autocorrelation coefficient of signal's wavelet coefficient and noise's wavelet coefficient. Finally the optimal upper threshold and lower threshold are calculated by using ant colony algorithm. Simulation and compressor vibration fault detection application results show that the proposed method can optimize the de-noising threshold and denoise effectively.

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