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[11]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 Trans. Instrum. Meas., vol. 69, no. 4, pp. 1505-1518, Apr. 2020.,2020
[12]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 Trans., vol. 100, pp. 373-386, May. 2020.,2020
[13]K. Yu, T.R. Lin and J. Tan, “A bearing fault and severity diagnostic technique using adaptive deep belief networks and Dempster–Shafer theory,” Struct. Health. Monit., vol. 19, no. 1, pp. 240-261, Jan. 2020.,2020
[14]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.,2019
[15]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,” Meas. Sci. Technol., vol. 30, no. 5, 055008 (15pp), Apr. 2019.,2019
[16]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.,2019
[17]K. Yu, J. Tan and T.R. Lin, “Fault diagnosis of rolling element bearing using multi-scale Lempel-Ziv complexity and Mahalanobis distance criterion,” J. Shanghai Jiao Tong Univ. (Sci.), vol. 23, no. 5, pp. 696-701, Jun. 2018.,2018
[18]K. Yu, T.R. Lin and J. Tan, “A bearing fault diagnosis technique based on singular values of EEMD spatial condition matrix and Gath-Geva clustering,” Appl. Acoust., vol. 121, pp. 33-45, Jun. 2017.,2017

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