[1]
Information on http: /pagesperso-orange. fr/polyvalens/clemens/wavelets/wavelets. html.
Google Scholar
[2]
P.S. Addison, The Illustrated Wavelet Transform Handbook, Institute of Physics Publishing, UK, (2002).
Google Scholar
[3]
D.B. Percival and A.T. Walden, Wavelet Methods for Time Series Analysis, Cambridge University Press, UK, (2000).
Google Scholar
[4]
S. Berry, Practical wavelet signal processing for automated testing, IEEE 0-7803-5432-X/99. (1999) 653-659.
Google Scholar
[5]
S. Abdullah, Wavelet Bump Extraction (WBE) for editing variable amplitude fatigue loadings. Ph. D, Thesis, The University of Sheffield, (2005).
Google Scholar
[6]
Information on http: /www. eurasip. org/Proceedings/Eusipco2008/paper/1569104449. pdf.
Google Scholar
[7]
J.H. Gao, R.S. Wu, and B.J. Wang, A new type of analyzing wavelet and its applications for extraction of instantaneous spectrum bandwidth, SEG International Exposition and Annual Meeting, San Antonio, Texas, (2001).
DOI: 10.1190/1.1816515
Google Scholar
[8]
B.S. Kim, S.H. Lee, M.G. Lee, J. Ni, J.Y. Song, and C.W. Lee, A comparative study on damage detection in speed-up and coast-down process of grinding spindle-typed rotor-bearing system, Journal of Materials Processing Technology. 187-188 (2007).
DOI: 10.1016/j.jmatprotec.2006.11.222
Google Scholar
[9]
T.W. Liao, Clustering of time series data - a survey, The Journal of the Pattern Recognition Society. 38 (2005) 1857-1874.
DOI: 10.1016/j.patcog.2005.01.025
Google Scholar
[10]
R.K.Y. Chang, C.K. Loo, M.V.C. Rao, Enhanced probabilistic neural network with data imputation capabilities for machine-fault classification, Neural Computation and Applications. 18 (2009) 791-800.
DOI: 10.1007/s00521-008-0215-1
Google Scholar
[11]
R. Johnsson, Cylinder pressure reconstruction based on complex radial basis function networks from vibration and speed signals, Mechanical Systems and Signal Processing. 20 (2006) 1923-(1940).
DOI: 10.1016/j.ymssp.2005.09.003
Google Scholar
[12]
M.Z. Nuawi, S. Abdullah, S. Abdullah, S.M. Haris, and A. Arifin, Matlab: A Comprehensive Reference for Engineers, McGraw-Hill Sdn. Bhd, Malaysia, (2009).
Google Scholar
[13]
M. Misiti, Y. Misiti, G. Oppenheim, and J.M. Poggi, Matlab User's Guide: Wavelet ToolboxTM 4, The Math Works Inc, MA, USA, (2008).
Google Scholar
[14]
V. Purushotham, S. Narayanan, and Suryanarayana A.N. Prasad, Multi-fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognition, NDT & E International. 38 (2005) 654-664.
DOI: 10.1016/j.ndteint.2005.04.003
Google Scholar
[15]
S. Ilic, Methodology of evaluation of in-service loads applied to the output shafts of automatic transmissions, Ph. D, Thesis, The University of New South Wales, (2006).
Google Scholar
[16]
C. Braccesi, F. Cianetti, G. Lori, and D. Pioli, The frequency domain approach in virtual fatigue estimation of non-linear systems: the problem of non-Gaussian states of stress, International Journal of Fatigue. 31 (2009) 766-775.
DOI: 10.1016/j.ijfatigue.2008.03.007
Google Scholar