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Paper Publications
Realising the decomposition of a multifrequency signal under the coloured noise background by the adaptive stochastic resonance in the non-linear system with periodic potential.IET Signal Processing,2018,12(7):930-936
An improved adaptive stochastic resonance method for improving efficiency of bearing faults diagnosis.Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,2018,232(13):2352-2368
Improving amplitude modulated signals by re-scaled and twice sampling vibrational resonance methods.Pramana,2018,91(3):38
An improved adaptive optimization stochastic resonance with general scale transformation to extract high-frequency signal in the strong noise.International Journal of Modern Physics B,2018,32(15):1850185
yangjianhua,Miguel A F Sanjuan,Pengpeng Chen,liuhouguang.Stochastic resonance in overdamped systems with fractional power nonlinearities,2017,132;10;432
张景玲,黄大文,yangjianhua,liuhouguang,刘晓乐.Realizing the empirical mode decomposition by the adaptive stochastic resonance in a new periodical model and its application in bearing fault diagnosis,2017,31;10;4599-4610
yangjianhua,Sanjuan, Miguel A.F.,liuhouguang.Enhancing the Weak Signal with Arbitrary High-Frequency by Vibrational Resonance in Fractional-Order Duffing Oscillators,2017,v 12,n 5,
yangjianhua,Sanjuan, Miguel A. F.,liuhouguang,朱华.Noise-induced resonance at the subharmonic frequency in bistable systems,2017,v 87,n 3,p1721-1730
Effects of the colored noise on the resonance at the subharmonic frequency in bistable systems.Chinese Journal of Physics,2017,55(3):989-995
Improving the bearing fault diagnosis efficiency by the adaptive stochastic resonance in a new nonlinear system.Mechanical Systems and Signal Processing,2017,96:58-76