References

Daubechies, I., 1990. The wavelet transform, time-frequency localization and signal analysis. IEEE Trans. Inform. Theory, 36: 961-1005.
CrossRef  |  Direct Link  |  

Daubechies, I., 1992. Ten Lectures on Wavelets. Vol. 61, Society for Industrial Applied Maths, Philadelphia, pp: 357.

Ho, D. and R.B. Randall, 2000. Optimisation of bearing diagnostic techniques using simulated and actual bearing fault signals. Mech. Syst. Signal Process., 14: 763-788.
CrossRef  |  Direct Link  |  

Korner, T.W., 1988. Fourier Analysis. Cambrige University Press, UK.

Kruglova, T.N., 2015. Intelligent diagnosis of the electrical equipment technical condition. Procedia Eng., 129: 219-224.
CrossRef  |  Direct Link  |  

Liu, B. and S.F. Ling, 1999. On the selection of informative wavelets for machinery diagnosis. Mech. Syst. Signal Proc., 13: 145-162.
CrossRef  |  Direct Link  |  

Peter, W.T., W.X. Yang and H.Y. Tam, 2004. Machine fault diagnosis through an effective exact wavelet analysis. J. Sound Vibr., 277: 1005-1024.
Direct Link  |  

Petuchov, V.S. and V.A. Sokolov, 2005. Diagnosis of a condition of electric motors on the basis of the spectral analysis of a consumed current. Mag. News Electr. Eng., 1: 23-23.

Shayhutdinov, D., A. Lankin, N. Narakidze, V. Grechikhin, K. Shirokov and N. Gorbatenko, 2015. Complex predict fault diagnostics of electromagnetic actuators based on the principle component analyses. Res. J. Appl. Sci., 10: 555-557.

Shaykhutdinov, D., A. Lankin, S. Janvarev, N. Gorbatenko and D. Schuchkin, 2015. Application of tensor methodologies for the description of non-linear processes in electromagnetic drive. Res. J. Appl. Sci., 10: 798-800.
Direct Link  |  

Shaykhutdinov, D., N. Gorbatenko, R. Leukhin, 2015. Development of a computer-based stand for research of the methods of sensorless control of electromagnets DC. Res. J. Appl. Sci., 10: 845-847.
Direct Link  |