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[1] 杨建华,Rajasekar, S.,Sanjuan, Miguel A. F..Vibrational resonance: A review,2024,卷: 1067页: 1-62
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[2] 杨建华,王志乐,郭瑜,宫涛,单振.A Novel Noise-Aided Fault Feature Extraction Using Stochastic Resonance in a Nonlinear System and Its Application,2024,卷: 24期: 7页: 11856-11866
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[3] 许钟奇,杨建华,李尚袁,杨岩,王亮,孙博文,黄升平.钢丝绳无损检测信号处理算法的进展,2023,2023年11期:72-79,8
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[4] 杨建华,单振,王重秋,汤佳琛,宫涛.Bearing misalignment identification by adaptive time frequency modal decomposition under time-varying speed operating condition,2023
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[5] 宫涛,杨建华,庄絮竹,刘后广.螺栓松动故障监测实验研究综述,2023,:,10
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[6] 孙博文,杨建华,李宝峰,李尚袁,王亮,许钟奇.Wire Rope Inspection Robots: A Review,2023
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[7] 黄升平,章嘉诚,杨建华,刘后广,Sanjuán, Miguel A.F..Logical vibrational resonance in a symmetric bistable system: Numerical and experimental studies,2023,v 119,
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[8] 王志乐,杨建华,郭瑜,宫涛,单振.Nonstationary feature extraction based on stochastic resonance and its application in rolling bearing fault diagnosis under strong noise background,2023,v 94,n 1,
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[9] 王志乐,杨建华,郭瑜,宫涛,单振.Positive role of bifurcation on stochastic resonance and its application in fault diagnosis under time-varying rotational speed,2022,卷: 537
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[10] 沈萌恩,杨建华,Jiang, Wenbo,Sanjuan, Miguel A. F.,Zheng, Yuqiao.Stochastic resonance in image denoising as an alternative to traditional methods and deep learning,2022,卷: 109期: 3页: 2163-2183
