References
- Lee, K. J., Lee, T. M., and Yang, M. Y., "Tool wear monitoring system for CNC end milling using a hybrid approach to cutting force regulation." The International Journal of Advanced Manufacturing Technology, Vol. 32, No. 1-2, pp. 8-17, 2007. https://doi.org/10.1007/s00170-005-0350-0
- Choi, H. J., Park, C. W., Bae, J. S., Ahn, J. H., and Choi, S. D., "Design of High Speed Spindles Active Monitoring and Control Algorithm" The Korean Society of Manufacturing Process Engineers, Vol. 10, No. 5, pp. 13-19, 2011.
- Rai, A. and Upadhyay, S. H., "A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings," Tribology International, Vol. 96, pp. 289-306, 2016. https://doi.org/10.1016/j.triboint.2015.12.037
- Chine, W., Mellit, A., Lughi, V., Malek, A., Sulligoi, G., and Pavan, A. M., "A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks," Renewable Energy, Vol. 90, pp. 501-512, 2016. https://doi.org/10.1016/j.renene.2016.01.036
- Feng, Z., Qin, S., and Liang, M., "Time-frequency analysis based on Vold-Kalman filter and Higher order energy separation for fault diagnosis of wind turbine planetary gearbox under nonstationary condition," Renewable Energy, Vol. 85, pp. 45-56, 2016. https://doi.org/10.1016/j.renene.2015.06.041
- Dolenc, B., Boskoski, P., and Juricic, D, "Distributed bearing fault diagnosis based on vibration analysis" Mechanical Systems and Signal Processing, Vol. 66, pp. 521-532, 2016.
- Dolenc, B. Boskoski, P, Pfajfar.J, and Juricic, D, "Vibration Bsed Diagnosis of Distributed Bearing Faults" Vibration Engineering and Technology of Machiner,. Vol. 23, pp. 651-661, 2016.
- Yu, D., Cheng, J., and Yang, Y., "Application of EMD method and Hilbert spectrum to the fault diagnosis of roller bearings," Mechanical Systems and Signal Processing, Vol. 19, No. 2, pp. 259-270, 2005. https://doi.org/10.1016/S0888-3270(03)00099-2
- Park, M. S., Kim, D., and Oh, H. S., "Empirical mode decomposition using the second derivative" Korea Journal of Applied Statistics, Vol.26, No.2, pp. 335-347, 2013. https://doi.org/10.5351/KJAS.2013.26.2.335
- Kim, N. H., Lee, E. S., Lee, D. W., and Kim, N. K., "A Study on the Monitoring of the Micro Grooving using the AE Technology" JThe International Journal of Advanced Manufacturing Technology, Vol. 25, No. 7-8, pp. 663-667, 2005. https://doi.org/10.1007/s00170-003-1916-3
- Gu, D. S., Lee, J. H., Yang, B. S., and Choi, B. K., "Application of Envelop Analysis and Wavelet Transform for Detection of Gear Failure," Transactions of the Korean Society of Mechanical Engineers A, Vol. 32, No. 11, pp. 905-910, 2008. https://doi.org/10.3795/KSME-A.2008.32.11.905
- Huang, N. E., Shen, Z., Long, S. R., Wu, M. C., Shih, H. H., Zheng, Q., Yen, N. C., Tung, C. C., and Liu, H. H., "The empirical mode decomposition and the Hilbert spectrum for nonlinear and Non-stationary time series analysis" Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, Vol. 454, pp. 903-995, 1998. https://doi.org/10.1098/rspa.1998.0193
- Li, C. P., Kim, M. Y., Park, J. K., & Ko, T. J., "A study on the development of rotary ultrasonic machining spindle" Journal of The Korean Society of Manufacturing Process Engineers, Vol. 14, No. 4, pp. 160-166, 2015. https://doi.org/10.14775/ksmpe.2015.14.4.160
- Kim, J. S., Kim, B. H., Lee, C. S., Kim, Y. J., and Park, Y. H.,"Study on The Status of Welded Parts According to The Types of Shielding Gas in TIG welding" Journal of The Korean Society of Manufacturing Process Engineers, Vol. 14, pp. 38-43, 2015. https://doi.org/10.14775/ksmpe.2015.14.2.038
Cited by
- A Development on the Fault Prognosis of Bearing with Empirical Mode Decomposition and Artificial Neural Network vol.33, pp.12, 2016, https://doi.org/10.7736/KSPE.2016.33.12.985
- Performance Assessment of a Boiler Combustion Process Control System Based on a Data-Driven Approach vol.6, pp.10, 2018, https://doi.org/10.3390/pr6100200
- 초정밀 대형 머시닝센터의 바닥 지반 설계에 관한 연구 vol.35, pp.6, 2016, https://doi.org/10.7736/kspe.2018.35.6.585
- PCA-SVM 기반의 SMPS 고장예지에 관한 연구 vol.19, pp.9, 2016, https://doi.org/10.14775/ksmpe.2020.19.09.047