References
- Lee, E. B. and Kim, J. D., 1993, 'A Study on the Prediction of Mirror-like Surface Generation by Frequency Analysis of Cutting Force and Simulation', Journal of KSME, Vol. 17, No.3, pp. 576-585
- Kim, J. D. and Lee E. B., 1993, 'A Study on the Modeling of Tool Motion and High Accuracy Surface Generation by Use of Cutting Force Signal', Journal of KSME, Vol. 17, No. 8, pp, 1951-1962
- Kwak, J. S. and Song, J. B., 2000, 'Estimation of the Ground Surface Roughness Applied by Acoustic Emission Signal', Journal of KSPE, Vol. 17, No.4, pp. 240-246
- Kim, J. D., Kim, S. R., Kim H. Y. and Ahn J. H., 2001, 'Development of Acoustic Emission Sensor Using Piezoelectric Elements and Monitoring System for Polishing Process', Journal of KSPE, pp, 560-565
- Kim, W. I. Wang, D, .H. and Kim, Y. S., 2002, 'Behaviors of Cutting Force and Acoustic Emission in Different Helix Angle End Milling', Journal of the Korean Society of Manufacturing Technology, Vol. 1, No. 1, pp. 15-22
- Ertekin, Y. M., Kwon, Y. G. and Tseng Tzu-Liang(Bill), 2003, 'Identification of Common Sensory Features for the Control of CNC Milling Operations under Varying Cutting Conditions', International Journal of Machine Tools & Manufacture, Vol. 43, pp. 897-904 https://doi.org/10.1016/S0890-6955(03)00087-7
- Dragos, A., Axinte, N. G., Kate, F. and Iker, U., 2004, 'Process Monitoring to Assist the Workpiece Surface Quality in Machining', International Journal of Machine Tools & Manufacture, Vol. 44, pp. 1091-1108 https://doi.org/10.1016/j.ijmachtools.2004.02.020
- Ganesan, R., Das, T. K., Sikder, A. K. and Kumar, A., 2003, 'Wavelet-based Identification of Delamination Defect in CMP(Cu-Low k) Using Nonstationary Acoustic Emission Signal', IEEE Transactions on Semiconductor Manufacturing, Vol. 16, No. 4, pp. 677-685 https://doi.org/10.1109/TSM.2003.818975
- Kwak, J. S. and Ha, M. K, 2002, 'Intelligent Diagnosis of Grinding State Using AE and Power Signals', Journal of the Korean Society for Power System Engineering, Vol. 6, No. 2, pp. 60-67
- Kwak, J. S. and Ha, M. K., 2004, 'Neural Network Approach for Diagnosis of Grinding Operation by Acoustic Emission and Power Signals', Journal of Materials Processing Technology, Vol. 147, pp. 65-71 https://doi.org/10.1016/j.jmatprotec.2003.11.016
- Godin, N., Huguet, S., Gaertner, R. and Salmon, L., 2004, 'Clustering of Acoustic Emission Signals Collected during Tensile Tests on Unidirectional Glass/Polyester Composite Using Supervised and Unsupervised Classifiers', NDT&E International, Vol. 37, pp. 253-264 https://doi.org/10.1016/j.ndteint.2003.09.010
- Lee, S. K., 1998, 'Fault Diagnosis in Gear Using Adaptive Signal Processing and Time Frequency Analysis', Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 8, No. 4, pp. 746-756