참고문헌
- Rabiner, L. R., 1989, 'A Tutorial on Hidden Markov Models and Selected Application in Speech Recognition,' Proceedings of the IEEE, Vol. 77, No. 2, pp. 257-286 https://doi.org/10.1109/5.18626
- Smyth, P., 1994, 'Hidden Markov Models for Fault Detection in Dynamic Systems,' Pattern Recognition, Vol. 27, No. 1, pp. 149-164 https://doi.org/10.1016/0031-3203(94)90024-8
- Ying, J., Kirubarajan, T., Pattipati, K. R. and Pattersonhine, A., 2000, 'A Hidden Markov Model-Based Algorithm for Fault Diagnosis with Partial and Imperfect Tests,' IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews, vol. 30, No. 4, pp. 463-473 https://doi.org/10.1109/5326.897073
- Wong, J. C., McDonald, K. A. and Palazoglu, A., 2001, 'Classification Abnormal Plant Operation Using Multiple Process Variable Trends,' Journal of Process Control, Vol. 11, pp. 409-418 https://doi.org/10.1016/S0959-1524(00)00011-1
- Bunks, C., McCarthy, D. and Al-Ani, T., 2000, 'Condition-based Maintenance of Machines Using Hidden Markov Models,' Mechanlical Systems and Signal Processing, Vol. 14, pp. 597-612 https://doi.org/10.1006/mssp.2000.1309
- Ertunc, H. M., Loparo, K. A. and Ocak, H., 2001, 'Tool Wear Condition Monitoring in Drilling Operations Using Hidden Markov Models,' International Journal of Machine Tools & Manufacture, Vol. 41, pp. 1363-1384 https://doi.org/10.1016/S0890-6955(00)00112-7
- Kwon, K.-C. and Kim, J.-H., 1999, 'Accident Identification in Nuclear Power Plants Using Hidden Markov Models,' Engineering Applications of Artificial Intelligence, Vol. 12, pp. 491-501 https://doi.org/10.1016/S0952-1976(99)00011-1
- Lee, J. M. and Hwang, Y., 2000, 'Diagnosis of Machine Signal Using Hidden Markov Model,' Proceeding of KSME Dynamic & Control Division, KSME 00DC052, pp. 130-236
- Lee, J. M., Kim, S.-J., and Hwang, Y., 2002, 'Mechanical Signal Analysis Using Hidden Markov Model,' 9th International Congress on Sound and Vibration, Orlando, USA
- Lee, J. M., Hwang, Y., Kim, S.-J. and Song, C.-S., 2003, 'Application of Hidden Markov Model Using AR Coefficients to Machine Diagnosis,' Transactions of the KSNVE, vol. 13, No. 1, pp. 48-55 https://doi.org/10.5050/KSNVN.2003.13.1.048
- Kim, J. H., Shim, K. B., et al., 2001, COMPREHENSION OF LOG-LIKELIHOOD, Kyo Woo Sa, Chapter 2, pp. 7-22
- Rabiner, L. R. and Jaung, B.-H., 1993, FUNDAMENTALS OF SPEECH RECOGNITION, Prentice Hall Inc., Chapter 3 and 6, pp. 69-140 & 321-389
- Gales, M. J. G., 1999, 'Semi-Tied Covariance Matrices for Hidden Markov Models,' IEEE Transactions on Speech and Audio Processing, Vol. 7, No. 3, pp. 272-281 https://doi.org/10.1109/89.759034
- Gray, R. M., 1984, 'Vector Quantization,' IEEE ASSP Magazine, pp. 4-28
- Rao, J. S., 2000, VIBRATORY CONDITION MONITORING OF MACHINES, Narosa Publishing House, Chapter 9, pp. 312-382
피인용 문헌
- Application of Excitation Moment for Enhancing Fault Diagnosis Probability of Rotating Blade vol.38, pp.2, 2014, https://doi.org/10.3795/KSME-A.2014.38.2.205
- Identification of location and size of a defect in a structural system employing active external excitation and hybrid feature vector components in HMM vol.30, pp.6, 2016, https://doi.org/10.1007/s12206-016-0502-1