참고문헌
- S. Wu, T. Chow, “Induction machine fault detection using SOM-based RBF neural network,” IEEE Trans. Ind. Elect., vol. 51, no. 1, pp. 183-194, 2004. https://doi.org/10.1109/TIE.2003.821897
- W. T. Thomson, M. Fenger, “Current signature analysis to detect induction motor faults,” IEEE Ind. Applicat. Magazine, pp. 26-34, July/August 2001.
- Hua Su and et al, “Induction Machine Condition Monitoring Using Neural Network Modeling,” IEEE Trans. Industrial Electronics, vol. 54, no. 1, pp.241-264, 2007. https://doi.org/10.1109/TIE.2006.888786
- Antonino-Daviu, and et al, “Influence of Nonconsecutive Bar Breakages in Motor Current Signature Analysis for the Diagnosis of Rotor Faults in Induction Motors,” IEEE Trans. Energy Conversion, vol. 25, no. 1, pp.80-89, 2010. https://doi.org/10.1109/TEC.2009.2032622
- Van Tung Tran, Bo-Suk Yang, Myung-Suck Oh, Andy Chit Chiow Tan, “Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference,” Expert Systems with Applications, vol. 36, no. 9, pp.1840-1849, 2009. https://doi.org/10.1016/j.eswa.2007.12.010
- Vilas N. Ghate, Sanjay V. Dudul, “Optimal MLP neural network classifier for fault detection of three phase induction motor,” Expert Systems with Applications, vol. 37, no. 4, pp.3468-3481, 2010. https://doi.org/10.1016/j.eswa.2009.10.041
- Nejjari, M. H. Benbouzid, “Monitoring and diagnosis of induction motors electrical faults using a current Park’s vector pattern learning approach,” IEEE Trans. Ind. Applicat., vol. 36, no.3, pp. 730-735, 2000. https://doi.org/10.1109/28.845047
- Zhengping Zhang, and et al, “A Novel Detection Method of Motor Broken Rotor Bars Based on Wavelet Ridge,” IEEE Trans. on Energy Conversion, vol. 18, vol. 3, pp.417-423, 2003. https://doi.org/10.1109/TEC.2003.815851
- Zhongming Ye, and et al, “Current Signature Analysis of Induction Motor Mechanical Faults by Wavelet Packet Decomposition,” IEEE Trans. on Industrial Electronics, Vol. 50, No. 6, December, 2003.
- Richard O. Duda et al, Pattern Classification, John Wiley & Sons Inc, 2nd Ed., 2002.
- R. Casimir, and et al, “The Use of Feature Selection and Nearest Neighbors ruls for Faults Diagnostic in Induction Motors”, Engineering Applications of Artificial Intelligence, vol. 19, pp.169-177, 2006. https://doi.org/10.1016/j.engappai.2005.07.004
- G. B. Huang, Q. Y. Zhu, and C. K. Siew, “Extreme learning machine: theory and applications,” Neurocomputing, Vol. 70, No. 1-3, pp. 489-501, 2006. https://doi.org/10.1016/j.neucom.2005.12.126