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[32] 杨建华,韩帅,张帅,刘后广,唐超权.强噪声背景下滚动轴承微弱故障特征信号的经验模态分解,2020,2020年03期:582-589,8
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[34] 杨建华,黄大文,周登极,刘后广.Optimal IMF selection and unknown fault feature extraction for rolling bearings with different defect modes,2020,v 157,
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[35] 杨建华,Zhang, Shuai,Sanjuan, Miguel A.F.,刘后广.Time-frequency analysis of a new aperiodic resonance,2020,v 85,
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[36] Zhang, Jiaqi,杨建华,朱真才,沈刚,Sanjuan, Miguel A. F..Effects of Different Fast Periodic Excitations on the Pitchfork Bifurcation and Vibrational Resonance,2020,v 30,n 6,
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[37] 吴呈锦,杨建华,Sanjuan, Miguel A. F.,刘后广.Stochastic resonance induced by an unknown linear frequency modulated signal in a strong noise background,2020,卷: 30期: 4
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[38] 吴呈锦,Wang, Zhiqiang,杨建华,Huang, Dawen,Sanjuan, Miguel A. F..Adaptive piecewise re-scaled stochastic resonance excited by the LFM signal,2020,卷: 135期: 1
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[39] Logical stochastic resonance in a nonlinear fractional-order system.The European Physical Journal Plus,2020,135:747
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[40] 黄大文,杨建华,周登极,Litak, Grzegorz.Novel adaptive search method for bearing fault frequency using stochastic resonance quantified by amplitude-domain index,2020,v 69,n 1,p109-121