Computer Science ›› 2018, Vol. 45 ›› Issue (5): 300-302.doi: 10.11896/j.issn.1002-137X.2018.05.052

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Improved Morphological-wavelet Threshold De-noising Method

YANG Zheng-yi, LIU Bo-wen, REN Shan and HENG Nan-nan   

  • Online:2018-05-15 Published:2018-07-25

Abstract: Vibration signals of rotating machinery acquired on the field are usually accompanied with impulse and white noise.Wavelet threshold de-noising is effective for filtering white noise but ineffective in filtering impulse noise,and morphological filter can effectively remove impulse noise but it is difficult for filtering white noise.An integrated filter based on morphological de-noising and wavelet threshold de-noising was proposed to efficiently purify the corrupted vibration signals of rotating machinery.The proposed filter algorithm presents the combined advantages of both morphological and wavelet filters,and it can simultaneously filter both impulse and white noises in the rotor vibration signal.Based on the vibration signals of rotating machinery acquired in field and simulation results,the integrated filter which is composed of a morphological filter followed by an improved wavelet threshold filter presents a decent de-noising result,and extracts the rotor vibration signal submerged in the noise.The efficiency of the filter is experimentally demonstrated compared with the previously reported filters.

Key words: Signal processing,Morphological filter,Wavelet threshold filtering,Morphological-wavelet threshold filter

[1] JIA L K,WANG Q X,YANG Z J,et al.Denoising of Rotor Vibration Signals Based on Improved Threshold Function[J].Machinery Design & Manufacture,2016,5(5):71-74.(in Chinese) 加力康,王勤贤,杨兆建,等.改进阈值函数的转子系统振动信号降噪研究[J].机械设计与制造,2016,5(5):71-74.
[2] YIN A J,WANG X.Signal Restoring Based on PED and Its Application in End Effect Processing of EMD[J].Journal of Vibration and Shock,2012,2(2):6-9.(in Chinese) 尹爱军,王璇.PDE信号修补办法及在EMD端点效应处理中的应用[J].振动与冲击,2012,1(2):6-9.
[3] MIAO S,WANG W L,YAO S W.Historic development ofHTT and its Applications[J].Journal of Electronic Measurement and Instrumentation,2014,8(8):812-818.(in Chinese) 苗晟,王威廉,姚绍文.Hilbert-Huang变换发展历程及其应用[J].电子测量与仪器学报,2014,8(8):812-818.
[4] LI Y F,LIANG X H,ZUO M J.Diagonal slice spectrum assistedoptimal scale morphological filter for rolling element bearing fault diagnosis[J].Mechanical Systems and Signal Processing,2017,85(1):146-161.
[5] WANG B,ZHANG G Y,LI Z,et al.Wavelet Threshold Denoi-sing Algorithm based on New Threshold Function[J].Journal of Computer Applications,2014,4(5):1499-1502.(in Chinese) 王蓓,张根耀,李智,等.基于新阈值函数的小波阈值去噪算法[J].计算机应用,2014,4(5):1499-1502.
[6] JONG-HYO A,DAE-HO K,BONG-HWAN K.Fault Detection of a Roller-Bearing System Through the EMD of a Wavelet Denoised Signal [J].Sensers,2014,4(8):15022-15038.
[7] HU Z Y,WANG C,ZHU J,et al.Bearing Fault Diagnosis Based on an Improved Morphological Filter[J].Measurement,2016,80(1):163-178.
[8] LIN X N,LIU P,LIU S M,et al.A Novel Integrated Morphology-Wavelet Filter Algorithm Used for Ultra-High Speed Protection of Power Systems[J].Proceedings of the CSEE,2002,22(9):19-24.(in Chinese) 林湘宁,刘沛,刘世明,等.电力系统超高速保护的形态学-小波综合滤波算法[J].中国电机工程学报,2002,2(9):19-24.
[9] LU X X,LIU Y J,LI L P,et al.Application of Morphological Filtering in Denoising of Acoustic Emission Signals for Sliding Bearing[J].Journal of Chinese Society of Power Engineering,2013,3(4):278-284.(in Chinese) 卢绪祥,刘雨佳,李录平,等.形态滤波在滑动轴承声发射信号降噪中的应用[J].动力工程学报,2013,3(4):278-284.
[10] LI H Y,ZHOU Y L,TIAN F,et al.Wavelet-based VibrationSignal De-noising Algorithm With a New Adaptive Threshold Function[J].Chinese Journal of Scientific Instrument,2015,36(10):2200-2206.(in Chinese) 李红延,周云龙,田峰,等.一种新的小波自适应阈值函数震动信号去噪算法[J].仪器仪表学报,2015,6(10):2200-2206.
[11] MENG Z,MA Z,LIU D,et al.Blind Source Separation Based on Wavelet Semi-Soft Threshold Denoising[J].China Mechanical Engineering,2016,27(3):337-342.(in Chinese) 孟宗,马钊,刘东,等.基于小波半软阈值消噪的盲源分离方法[J].中国机械工程,2016,7(3):337-342.

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