References
- A. M. Da Silva, R. J. Povinelli, N.A.O. Demerdash, "Induction Machine Broken Bar and Stator Short-Circuit Fault Diagnostics Based on Three-Phase Stator Current Envelopes," IEEE Transaction on Industrial Electronics, Vol. 55, pp. 1310-1318, 2008. https://doi.org/10.1109/TIE.2007.909060
- C.-H. Hwang, Y,-M. Kim, C.-H. Kim, J.-M. Kim, "Fault Detection and Diagnosis of Induction Motors using LPC and DTWMethods," Journal of the Korea Society of Computer and Information, Vol. 16, No. 3, pp. 141-147, 2011.
- C.-H. Hwang, M. Kang, J.-M. Kim, "A Study on Robust Feature Vector Extraction for Fault Detection and Classification of Induction Motor in Noise Circumstance," Journal of the Korea Society of Computer and Information, Vol. 16, No. 12, pp. 187-196, 2011. https://doi.org/10.9708/jksci.2011.16.12.187
- P. A. Laggan, "Vibration Monitoring," IEE Colloquium on Understanding Your Condition Monitoring, pp. 1-11, 1999.
- H. Han, S. Cho, and U. Chong, "Fault Diagnosis System Using LPC Coefficients and Neural Network," Proc. of International Forum on Strategic Technology, pp. 87-90, 2010.
- F. V. Nelwamonodo and T. Marwala, "Fault Detection Using Gaussian Mixture Models, Mel-Frequency Cepstral Coefficients and Kurtosis," IEEE International Conference on Systems, Man and Cybernetics, pp. 290-295, 2006.
- T. Boukra and A. Lebaroud, "Classification on Induction Machine Faults," International Multi-Conference on Systems and Devices, pp. 1-6, 2007.
- F. Li, G. Meng, L. Ye, and P. Chen, "Wavelet Transform-Based Higher-Order Statistics for Fault Diagnosis in Rolling Element Bearings," Journal of Vibration and Control, Vol. 14, pp. 1691-1709, 2008. https://doi.org/10.1177/1077546308091214
- H. Ocak, K. A. Loparo, "Estimation of the Running Speed and Bearing Defect Frequencies of an Induction Motor from Vibration Data," Mechanical Systems and Signal Processing, Vol. 18, pp. 515-533, 2004. https://doi.org/10.1016/S0888-3270(03)00052-9
- F. V. Nelwamonodo, T. Marwala, and U. Mahola, "Early Classifications of Bearing Faults Using Hidden Markov Models, Gaussian Mixture Models, Mel-Frequency Cepstral Coefficients and Fractals," Journal of Innovative Computing, Information and Control, Vol. 2, pp. 1281-1299, 2006.
- M. Ge, G. C. Zhang, and Y. Yu, "Feature Extraction from Energy Distribution of Stamping Processes Using Wavelet Transform," Journal of Vibration and Control, Vol. 8, pp. 1323-1032, 2002.
- K. M. Silva, B. A. Souza, N. S. D. Brito, "Fault Detection and Classification in Transmission Lines Based on Wavelet Transform and ANN," IEEE Trans. on Power Delivery, Vol. 21, pp. 2058-2063, 2006. https://doi.org/10.1109/TPWRD.2006.876659
- B.-S. Yang, T. Han, and W.W. Hwang, "Fault Diagnosis of Rotating Machinery based on Multi-Class Support Vector Machines," Journal of Mechanical Science and Technology, Vol. 19, No. 3, pp. 845-858, 2005.
- B. -S. Yang, D.S Lim, and J.L. An, "Vibration Diagnostic System of Rotating Machinery using Artificial Neural Network and Wavelet Transform," Proc. of 13th Intl. Congress on COMADEM, pp. 12-20, 2000.
- A. Widodo, B.-S. Yang, and T. Han, "Combination of Independent Component Analysis and Support Vector Machine for Intelligent Faults Diagnosis of Induction Motors," Expert System with Application, Vol. 32, pp. 299-312, 2007. https://doi.org/10.1016/j.eswa.2005.11.031
- A. Widodo, B. -S. Yang, T. Han, and D. J. Kim, "Fault Diagnosis of Induction Motor using Independent Component Analysis and Multi-Class Support Vector Machine," Proceedings of the 11th Asia-Pacific Vibration Conference, pp. 144-149, 2005.
- S. Poyhonen, Support Vector Machine Based Classification in Condition Monitoring of Induction Motors, Thesis Presented at Helsinki University of Technology, 2004.
- M. Deriche, "Bearing Fault Diagnosis Using Wavelet Analysis," International Conference on Computers, Communication and Signal Processing with Special Track on Biomedical Engineering, pp. 197-201, 2005.
- N. Mehla and R. Dahiya, "An Approach of Condition Monitoring of Induction Motor Using MCSA," International Journal of Systems Applications, Engineering and Development, Vol. 1, pp. 13-17, 2007.
- R. O. Duda, P. E. Hart, and D. G. Stock, Pattern Classification, Wiley, New York, 2001.
- T. Han, B.-S. Yang, and Z.-J. Yin, "Feature-based Fault Diagnosis System of Induction Motors using Vibration Signal," Journal of Quality in Maintenance Engineering, Vol. 13, No. 2, pp. 163-175, 2007. https://doi.org/10.1108/13552510710753069
- T. H. Park, Introduction to Signal Processing: Computer Musically Speaking, World Scientific, Singapore, 2010.
- M. Kang, N. Nguyen, Y. Kim, C. Kim, and J. Kim, "Feature Vector Extraction and Classification Performance Comparison According to Various Settings of Classifiers for Fault Detection and Classification of Induction Motor," J. of Acoustical Society of Korea, Vol. 30, No. 8, pp. 446-460, Dec. 2011. https://doi.org/10.7776/ASK.2011.30.8.446
Cited by
- LPC 분석 기법 및 EM 알고리즘 기반 잡음 환경에 강인한 진동 특징을 이용한 고 신뢰성 유도 전동기 다중 결함 분류 vol.19, pp.2, 2014, https://doi.org/10.9708/jksci.2014.19.2.021