참고문헌
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- Yang,Y., Yu,D., and Cheng, J. A fault diagnosis approach for roller bearing based on IMF envelope spectrum and SVM.Measurement. 2007. pp. 40. pp. 943-950. https://doi.org/10.1016/j.measurement.2006.10.010
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- Lei,Y., He, Z., Zi,Y., and Hu,Q. Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs. Mech. Syst. Signal Process., 2007, 21, pp. 2280-2294. https://doi.org/10.1016/j.ymssp.2006.11.003
- Benbouzid. M. E. H. and Kliman. G. B. What stator current processing-based technique to use for induction motor rotor faults diagnosis. IEEE Trans. Energy Convers., 2003, 18(2), pp. 238-244. https://doi.org/10.1109/TEC.2003.811741
- Combastel, C., Lesecq, S., Petropol. S., and Gentil. S. Model-based and wavelet approaches to induction motor on-line fault detection. Control Eng. Pract., 2002, 10(5), pp. 493-509. https://doi.org/10.1016/S0967-0661(01)00158-7
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- Lim, H. S., Chong,K. T., and Su, H.Motor fault detection method for vibration signal using FFT residuals. Int. J. Appl. Electromagn.Mech., 2006, 24(3.4), pp. 209-223.
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- Quinlan. J. R. C4.5: programs for machine learning. 1993 (Morgan Kaufmann Publisher. Inc., San Mateo. California).
- The C4.5 code comes from the Internet. available from http://rulequest.com/personal/c4.5r8.tar.gz
- Rao, J. S. Vibratory condition monitoring of machines, 2003, pp. 361-382 (Alpha Science International Ltd. Pangbourne. UK).