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J. H. Kim, J. S. Yoon, and D. Y. Lee, "Estimation of Tangential Cutting Force using Spindle Load of CNC Machining Center," Journal of the Korean Society of Manufacturing Technology Engineers, vol. 28 no. 6, pp. 343-349, 2019.
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B. H. Park, Y. J. Lee, and C. W. Lee, "Tool Condition Monitoring Using Deep Learning in Machining Process," Journal of the Korean Society for Precision Engineering, vol. 37, no. 6, pp. 415-420, 2020.
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D. Y. Lee and S. J. Yun, "Development of Deburring Spindle up to 80,000 rpm for Precision Finishing," Korean Society for Precision Engineering Conference, pp. 441-442, 2017.
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I. S. Yook, D. H. Lee, G. S. Han, W. K. Han, and J. H. Hwang, "Development of the Air Bearing Spindle for Precision Machining for Metal case of the Smart-phone," Korean Society for Precision Engineering Conference, pp. 280-281, 2016.
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C. H. Park and T. G. Yoon, "Development of Drilling Spindle for Micro-hole Machining with Magnetic Bearings," Transactions of the Korean Society for Noise and Vibration Engineering, vol. 27, no. 4, pp. 510-517, 2017.
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M. Saimurugan and K.I. Ramachandran, "Detection The Behavior of Smartphone Users using Time-division Feature Fusion Convolutional Neural Network," Journal of The Korean Institute of Information and Communication Engineering, vol. 24, no. 9, pp. 1224-1230, 2020.
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S. J. Yoon, M. Y. Lee, J. H. Lee, S. H. Lee, and J. C. Na, "Fault Diagnosis Using Artificial Intelligence for the Spindle of Machine Tools," Transactions of the Korean Society of Mechanical Engineers, vol. 45, no. 5, pp. 401-408, 2021.
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J. Shi, G. Si, S. Li, B. Oresanya, and Y. Zhang, "Feature extraction based on the fractional Fourier transform for vibration signals with application to measuring the load of a tumbling mill," Control Engineering Practice, vol. 84, pp. 238-246, 2019.
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K. M. Lee, C. Vununu, K. S. Moon, S. H. Lee, and K. R. Kwon, "Automatic machine fault diagnosis system using discrete wavelet transform and machine learning," Journal of Korea Multimedia Society, vol. 20, no. 8, pp. 1299-1311, 2017.
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M. Zhao, M. Kang, B. Tang, and M. Pecht, "Deep Residual Networks with Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes," IEEE Transactions on Industrial Electronics, vol. 65, issue 5, pp. 4290-4300, 2018.
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K. M. Lee, "A Machine Fault Diagnosis System based on Convolution Neural Network using Acoustic Power Spectral Density," Ph. D. dissertation, Pukyong National University, Busan, Republic of Korea, 2019.
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Y. J. An and J. Y. Kim, "A Study on Real-time Tool Breakage Monitoring on CNC Lathe Using Fusion Sensor," Tribology and Lubricants, vol. 28, no. 3, pp. 130~135, 2012.
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