[
[1] Cheng, J., Yu, D., Yang, Y. (2004). Energy operator demodulating approach based on EMD and its application in mechanical fault diagnosis. Journal of Mechanical Engineering, 40 (8), 115-118.10.3901/JME.2004.08.115
]Search in Google Scholar
[
[2] Zhang, K., Cheng, J. (2015). Roller bearing envelope analysis method based on local mean decomposition and kurtogram. Journal of Aerospace Power, 30 (12), 3043-3050.
]Search in Google Scholar
[
[3] Liu, M., Weng, P. (2019). Fault diagnosis of ball Bearing elements: A generic procedure based on time-frequency analysis. Measurement Science Review, 19 (4), 185-194.10.2478/msr-2019-0024
]Search in Google Scholar
[
[4] Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Shih, H.H., Zheng, Q., Yen, N.C., Tung, C.C., Liu, H.H. (1998). The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society A, 454 (1971), 903-995.
]Search in Google Scholar
[
[5] Smith, J.S. (2005). The local mean decomposition and its application to EEG perception data. Journal of the Royal Society Interface, 2 (5), 443-454.10.1098/rsif.2005.0058161849516849204
]Search in Google Scholar
[
[6] Wang, Y., He, Z., Zi, Y. (2009). A demodulation method based on local mean decomposition and its application in rub-impact fault diagnosis. Measurement Science and Technology, 20 (2), 1-10.10.1088/0957-0233/20/2/025704
]Search in Google Scholar
[
[7] Liu, W.Y., Gao, Q.W., Ye, G., Ma, R., Lu, X.N., Han, J.G. (2015). A novel wind turbine bearing fault diagnosis method based on Integral Extension LMD. Measurement, 74, 70-77.10.1016/j.measurement.2015.06.005
]Search in Google Scholar
[
[8] Mohanty, S., Gupta, K.K., Raju, K.S. (2018). Hurst based vibro-acoustic feature extraction of bearing using EMD and VMD. Measurement, 117, 200-220.10.1016/j.measurement.2017.12.012
]Search in Google Scholar
[
[9] Wu, F., Qu, L. (2009). Diagnosis of subharmonic faults of large rotating machinery based on EMD. Mechanical Systems and Signal Processing, 23 (2), 467-475.10.1016/j.ymssp.2008.03.007
]Search in Google Scholar
[
[10] Feng, Z., Zuo, M.J., Qu, J., Tian, T., Liu, Z. (2013). Joint amplitude and frequency demodulation analysis based on local mean decomposition for fault diagnosis of planetary gearboxes. Mechanical Systems and Signal Processing, 40 (1), 56-75.10.1016/j.ymssp.2013.05.016
]Search in Google Scholar
[
[11] Zhu, X., Wang, Y., Zhang, Y., Yuan, J. (2018). Method of incipient fault diagnosis of bearing based on adaptive optimal Morlet wavelet. Journal of Vibration, Measurement & Diagnosis, 38 (5), 1021-1029.
]Search in Google Scholar
[
[12] Lei, Y., Lin, J., He, Z., Zuo, M.J. (2013). A review on empirical mode decomposition in fault diagnosis of rotating machinery. Mechanical Systems and Signal Processing, 35 (1), 108-126.10.1016/j.ymssp.2012.09.015
]Search in Google Scholar
[
[13] He, Z., Shen, Y., Wang, Q. (2012). Boundary extension for Hilbert-Huang transform inspired by gray prediction model. Signal Processing, 92 (3), 685-697.10.1016/j.sigpro.2011.09.010
]Search in Google Scholar
[
[14] Zheng, J., Cheng, J., Yang, Y. (2014). Partly ensemble empirical mode decomposition: An improved noise-assisted method for eliminating mode mixing. Signal Processing, 96, 362-374.10.1016/j.sigpro.2013.09.013
]Search in Google Scholar
[
[15] Ren, D. (2008). Study on methods and system for fault characteristics extraction of rotating machines based on local mean decomposition. Published doctoral dissertation, Zhejiang University, Hangzhou, China.
]Search in Google Scholar
[
[16] Zhang, K., Chen, X., Liao, L., Tang, M., Wu, J. (2018). A new rotating machinery fault diagnosis method based on local oscillatory-characteristic decomposition. Digital Signal Processing, 78, 98-107.10.1016/j.dsp.2018.02.018
]Search in Google Scholar
[
[17] Zhang, K., Wu, J., Liao, L. (2015). Local oscillatory-characteristic decomposition and its application in gear envelope analysis. Journal of Vibration Engineering, 28 (5), 846-854.
]Search in Google Scholar
[
[18] Zhang, K., Shi, Y., Tang, M., Wu, J. (2016). Local oscillatory-characteristic decomposition and its application in roller bearing fault diagnosis. Journal of Vibration and Shock, 35 (1), 89-95.
]Search in Google Scholar
[
[19] Wu, J., Yang, Y., Yang, X., Cheng, J. (2018). Fault feature analysis of cracked gear based on LOD and analytical-FE method. Mechanical Systems and Signal Processing, 98, 951-967.10.1016/j.ymssp.2017.05.041
]Search in Google Scholar
[
[20] Han, T., Liu, Q., Zhang, L., Tan, A.C.C. (2019). Fault feature extraction of low speed roller bearing based on Teager energy operator and CEEMD. Measurement, 138, 400-408.10.1016/j.measurement.2019.02.053
]Search in Google Scholar
[
[21] Xu, Y., Cai, Z., Ding, K. (2018). An enhanced bearing fault diagnosis method based on TVF-EMD and a high-order energy operator. Measurement Science and Technology, 29, 095108.10.1088/1361-6501/aad499
]Search in Google Scholar
[
[22] Huang, N.E., Wu, Z.H., Long, S.R., Arnold, K.C., Chen, X.Y., Blank, K. (2009). On instantaneous frequency. Advances in Adaptive Data Analysis, 1 (2), 177-229.10.1142/S1793536909000096
]Search in Google Scholar
[
[23] Zheng, J., Cheng, J., Yang, Y. (2012). A new instantaneous frequency estimation approach-empirical envelope method. Journal of Vibration and Shock, 31 (17), 86-90.
]Search in Google Scholar
[
[24] Zhang, Q., Jia, L. (2018). [An empirical optimal envelope method based on interpolation]. China Patent No. CN108520207A. Beijing: China National Intellectual Property Administration.
]Search in Google Scholar
