P.K. Kankar, S.C. Sharma, and S.P. Harsha, "Fault diagnosis of ball bearings using continuous wavelet transform", Appl. Soft Comput., vol. 11, pp. 2300-2312, 2011.
P.K. Kankar, C.S. Sharma, and S.P. Harsha, "Rolling element bearing fault diagnosis using wavelet transform", Neuro Comput., vol. 74, no. 10, pp. 1638-1645, 2011.
P. Shakya, A.K. Darpe, and M.S. Kulkarni, Vibration-based fault diagnosis in rolling element bearings: ranking of various time, frequency and time-frequency domain data-based damage identification parameters. Inter. J. Cond. Monitor., Volu. 3, no. 2,
Z.K. Peng, and F.L. Chu, "Application of the wavelet transform in machine condition monitoring and fault diagnostics: A review with bibliography", Mechanic. Syst. Sig. Process., vol. 18, no. 2, pp. 199-221, 2004.
S. Singh, A. Kumar, and N. Kumar, "Motor current signature analysis for bearing fault detection in mechanical systems", Procedia Mater. Sci., vol. 6, pp. 171-177, 2014.
Y. Jiang, B. Tang, Y. Qin, and W. Liu, "Feature extraction method of wind turbine based on adaptive Morlet wavelet and SVD", Renew. Energy, vol. 36, pp. 2146-2153, 2011.
J.I. Taylor, The vibration analysis hand book., 2nd ed USA: Vibration Consultants, 2003.
S. Mallat, A wavelet tour of signal processing., 1st ed Academic Press, 2009.
M. Misiti, Y. Misiti, G. Oppenheim, and J.M. Poggi, Wavelets and their Applications., 3rd ed France: Hermes Science, 2003.
C.W. Liao, and J.Y. Lin, "New FIR filter-based adaptive algorithms incorporating with commutation error to improve active noise control performance", Automatica, vol. 43, pp. 325-331, 2007.
M.I. Troparevsky, and C.E. D’Attellis, "On the convergence of the LMS algorithm in adaptive filtering", Signal Processing, vol. 84, pp. 1985-1988, 2004.