A New Method of De-noising of Pendulum Signal and Its Application

被引：0
|
作者：
Liu Y. [1 ]
He S. [1 ]
Yang Q. [2 ]
Gao B. [1 ]
Liu P. [1 ]
Lei Y. [1 ]
机构：
[1] The College of Information Engineering of Xiangtan University, Xiangtan
[2] Guangxi Guimao Electric Power Co., Ltd., Hechi
来源：
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis | 2019年 / 39卷 / 05期
关键词：
Approximate coefficient; Median filtering; Savitzky-Golay filtering; Throw signals; Wavelet de-noising;
D O I：
10.16450/j.cnki.issn.1004-6801.2019.05.021
中图分类号：
学科分类号：
摘要：
The swing signal of the hydraulic turbine unit includes strong impulse noise and Gauss white noise due to the disturbance of the field environment and equipment. This results in the real effective signal being submerged which brings great difficulty for signal extraction. In the light of this problem, a swing signal denoising method that combines median filtering, wavelet threshold de-noising and Savitzky-Golay smoothing filter is proposed. First, the median filter is used to remove the impulse noise in the analysis signal. Then, the Savitzky-Golay smoothing filter and threshold denoising are used to remove the white noise components in approximate coefficient and detail coefficient after wavelet decomposition respectively. The simulation results show that the method can effectively increase the signal-to-noise ratio(SNR), local correlation index(LCI) and smoothness(S), and reduce the mean square error(MSE). The experimental results show that the method can not only remove the noise in the swing signal of the water turbine, but also effectively retain the details of the real signal. © 2019, Editorial Department of JVMD. All right reserved.
引用
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页码：1053 / 1060
页数：7
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