w   振动信号时频分析相关论文(SCI论文7篇，EI论文1篇)

[1]      K. Yu, T. R. Lin, H. Ma, H. Li and J. Zeng, “A combined polynomial chirplet transform and synchroextracting technique for analyzing nonstationary signals of rotating machinery,” IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 4, pp. 1505-1518, Apr. 2020.

[2]      K. Yu, X. S. Wang and Y. H. Cheng, “A post-processing method for time-reassigned multisynchrosqueezing transform and its application in processing the strong frequency-varying signal,” IEEE Transactions on Instrumentation and Measurement, vol. 70, 3525111, Sep. 2021. 

[3]      K. Yu, F. Chu, X. S. Wang, and Y. H. Cheng, “Frequency-domain energy-concentrated synchrosqueezing transform for frequency-varying signal with linear group delay,” IEEE Transactions on Instrumentation and Measurement, vol. 71, 4000915, Jan. 2022. 

[4]      K. Yu, H. Ma, J. Zeng, H. Han, H. Li and B. Wen, “Frobenius and nuclear hybrid norm penalized robust principal component analysis for transient impulsive feature detection of rolling bearings,” ISA Transactions, vol. 100, pp. 373-386, May. 2020. 

[5]      K. Yu, T. R. Lin, J. Tan and H. Ma, “An adaptive sensitive frequency band selection method for empirical wavelet transform and its application in bearing fault diagnosis,” Measurement, vol. 134, pp. 375-384, Feb. 2019. 

[6]      K. Yu, H. Ma, H. Han, J. Zeng, H. Li, X. Li, Z. Xu and B. Wen, “Second order multi-synchrosqueezing transform for rub-impact detection of rotor systems,” Mechanism and Machine Theory, vol. 140, pp. 321-349, Oct. 2019. 

[7]      K. Yu, H. Ma, J. Zeng, H. Li and B. Wen, “An amplitude weak component detection technique based on normalized time-frequency coefficients and multi-synchrosqueezing operation,” Measurement Science and Technology, vol. 30, no. 5, 055008 (15pp), Apr. 2019. 

[8]      俞昆,罗志涛,李鸿飞,马辉.广义参数化同步压缩变换及其在旋转机械振动信号中的应用[J].机械工程学报,2019,55(11):149-159. (EI论文)