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[71] 贾鹏祥,杨建华,刘后广,胡而已.Improving amplitude-modulated signals by re-scaled and twice sampling vibrational resonance methods,2018,v 91,n 3,
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[72] 张景玲,杨建华,刘后广,周登极.Improved SNR to detect the unknown characteristic frequency by SR,2018,v 12,n 6,p795-801
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[73] 杨建华,黄大文,Miguel A F Sanjuan,刘后广.Vibrational resonance in an overdamped system with a fractional-order potential nonlinearity,2018,28;7;1850082
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[74] 张景玲,杨建华,唐超权,黄大文,刘后广.基于周期势系统随机共振的轴承故障诊断,2018,2018年08期:989-995,7
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[75] 黄大文,杨建华,张景玲,刘后广.An improved adaptive stochastic resonance method for improving efficiency of bearing faults diagnosis,2018,232;13;2352-2368
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[76] 杨建华,黄大文,Sanjuan, Miguel A. F.,刘后广.Vibrational Resonance in an Overdamped System with a Fractional Order Potential Nonlinearity,2018,v 28,n 7,
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[77] 黄大文,杨建华,张景玲,刘后广.An improved adaptive stochastic resonance with general scale transformation to extract high-frequency characteristics in strong noise,2018,32;15;1850185
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[78] 杨建华,刘后广.机械类本科生《控制工程基础》课程中美教学情况对比及启示——以中国矿业大学和密歇根大学(安娜堡)为例,2018,2018年25期:38-40,3
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[79] 杨建华,刘后广.机械类本科生《控制工程基础》课程中美教学情况对比及启示,2018,2018;25;38-40
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[80] 杨建华,马强,吴呈锦,刘后广.分数阶双稳系统中的非周期振动共振,2018,2018年05期:164-177,14
