[6] Cheng, J., Zheng, J., Yang, Y. (2012). A nonstationary signal analysis approach - The local characteristic-scale decomposition method. Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 25 (2), 215, DOI: 10.16385/j.cnki.issn.1004-4523.2012.02.002.
[9] Nguyen, V.H., Cheng, J.S., Yu, Y., Thai, V.T. (2019). An architecture of deep learning network based on ensemble empirical mode decomposition in precise identification of bearing vibration signal. Journal of Mechanical Science and Technology, 33, 41-50. https://doi.org/10.1007/s12206-018-1205-610.1007/s12206-018-1205-6
[11] Prieto-Moreno, A., Llanes-Santiago, O., Garcia-Moreno, E. (2015). Principal components selection for dimensionality reduction using discriminant information applied to fault diagnosis. Journal of Process Control, 33, 14-24. https://doi.org/10.1016/j.jprocont.2015.06.00310.1016/j.jprocont.2015.06.003
[12] Nguyen, V.H., Cheng, J.S., Thai, V.T. (2017). An integrated generalized discriminant analysis method and chemical reaction support vector machine model (GDA-CRSVM) for bearing fault diagnosis. Advances in Production Engineering & Management, 12 (4), 321-336. https://doi.org/10.14743/apem2017.4.26110.14743/apem2017.4.261
[15] Bengio, Y. (2009). Learning deep architectures for AI. Foundations and Trends® in Machine Learning, 2 (1), 1-127. http://dx.doi.org/10.1561/220000000610.1561/2200000006
[27] Nguyen, V., Hoang, T.D., Thai, V., Nguyen, X. (2019). Big vibration data diagnosis of bearing fault base on feature representation of autoencoder and optimal LSSVM-CRO classifier model. In 2019 International Conference on System Science and Engineering (ICSSE). IEEE, 557-563. https://doi.org/10.1109/ICSSE.2019.882333210.1109/ICSSE.2019.8823332
[29] Su, Z., Tang, B., Liu, Z., Qin, Y. (2015). Multi-fault diagnosis for rotating machinery based on orthogonal supervised linear local tangent space alignment and least square support vector machine. Neurocomputing, 157, 208-222. https://doi.org/10.1016/j.neucom.2015.01.01610.1016/j.neucom.2015.01.016
[30] Budiman, A., Fanany, M.I., Basaruddin, C. (2014). Stacked Denoising Autoencoder for feature representation learning in pose-based action recognition. In 2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE). IEEE, 684-688. https://doi.org/10.1109/GCCE.2014.703130210.1109/GCCE.2014.7031302
[31] Eberhart, R., Kennedy, J. (1995). A new optimizer using particle swarm theory. In Proceedings of the Sixth International Symposium on Micro Machine and Human Science (MHS ‘95). IEEE, 39-43. https://doi.org/10.1109/MHS.1995.49421510.1109/MHS.1995.494215