참고문헌
- Kania, L., 2006, Modeling of Rollers in Calculation of Slewing Bearing with the Use of Finite Elements, Mechanism and Machine Theory, Vol. 41, No. 11, pp. 1359-1376. https://doi.org/10.1016/j.mechmachtheory.2005.12.007
- Goncz, P., Potocnik, R. and Glodez, S., 2011, Load Capacity of a Three-row Roller Slewing Bearing Raceway, Procedia Engineering, Vol. 10, pp. 1196-1201. https://doi.org/10.1016/j.proeng.2011.04.199
- Gang, Z., Xue, Z., Kaifeng, Z., Juan, R., Dede, J., Qingzhen, Y., Mingyan, L. and Yan, Z., 2011, Optimization Design of Large-scale Cross-roller Slewing Bearing Used in Special Propeller, Applied Mechanics and Materials, Vol. 48-49, No. 2, pp. 787-792. https://doi.org/10.4028/www.scientific.net/AMM.48-49.787
- Glodez, S., Potocnik, R. and Flasker, J., 2012, Computational Model for Calculation of Static Capacity and Lifetime of Large Slewing Bearing's Raceway, Mechanism and Machine Theory, Vol. 47, No. 1, pp. 16-30. https://doi.org/10.1016/j.mechmachtheory.2011.08.010
- Aguirrebeitia, J., Abasolo, M., Aviles, R. and Fernández de Bustos, I., 2012, Theoretical Calculation of General Static Load-carrying Capacity for the Design and Selection of Three Row Roller Slewing Bearings, Mechanism and Machine Theory, Vol. 48, No. 2, pp. 52-61. https://doi.org/10.1016/j.mechmachtheory.2011.09.003
- Bai, X., Xiao, H. and Zhang, L., 2011, The Condition Monitoring of Large Slewing Bearing Based on Oil Analysis Method, Key Engineering Materials. Vol. 474-476, No. 4, pp. 716-719. https://doi.org/10.4028/www.scientific.net/KEM.474-476.716
- Liu, R., 2007, Condition Monitoring of Low-speed and Heavily Loaded Rolling Element Bearing, Industrial Lubrication and Tribology, Vol. 59, No. 6, pp. 297-300. https://doi.org/10.1108/00368790710820892
- Rodger, L. M., 1979, The Application of Vibration Signature Analysis and Acoustic Emission Source Location to On-line Condition Monitoring of Anti-friction Bearings, Tribology International, Vol. 12, No. 2, pp. 51-59. https://doi.org/10.1016/0301-679X(79)90001-X
- Žvokelj, M., Zupan, S. and Prebil, I., 2010, Multivariate and Multiscale Monitoring of Large-size Low-speed Bearings Using Ensemble Empirical Mode Decomposition Method Combined with Principal Component Analysis, Mechanical Systems and Signal Processing, Vol. 24, No. 4, pp. 1049-1067. https://doi.org/10.1016/j.ymssp.2009.09.002
- Zvokelj, M., Zupan, S. and Prebil, I., 2011, Non-linear Multivariate and Multiscale Monitoring and Signal Denoising Strategy Using Kernel Principal Component Analysis Combined with Ensemble Empirical Mode Decomposition Method, Mechanical Systems and Signal Processing, Vol. 25, No. 7, pp. 2631-2653. https://doi.org/10.1016/j.ymssp.2011.03.002
- 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., 1998, The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-stationary Time Series Analysis, Proceeding of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 454, No. 1971, pp. 903-995. https://doi.org/10.1098/rspa.1998.0193
- Huang, N. E. and Shen, S. S. P., ed. 2005, Hilbert-Huang Transform and Its Applications, World Scientific Publishing Co. Pte. Ltd., Singapore, 360pp.
- Huang, N. E. and Attoh-Okine, N. O., ed. 2005, Hilbert-Huang Transform in Engineering, CRC Press, 313pp.
- Guanlei, X., Xiaotong, W. and Xiaogan, X., 2009, Time-varying Frequency-shifting Signal-assisted Empirical Mode Decomposition Method for AM-FM Signals, Mechanical Systems and Signal Processing, Vol. 23, No. 8, pp. 2458-2469. https://doi.org/10.1016/j.ymssp.2009.06.006
- Huang, N. E., Shen, Z., R. and Long, S., 1999, A New View of Nonlinear Water Waves - the Hilbert Spectrum, Annual Review of Fluid Mechanic, Vol. 31, pp. 417-457. https://doi.org/10.1146/annurev.fluid.31.1.417
- Wu, Z. and Huang, N. E., 2009, Ensemble Empirical Mode Decomposition: a Noise-assisted Data Analysis Method, Advances in Adaptive Data Analysis, Vol. 1, No. 1, pp. 1-41. https://doi.org/10.1142/S1793536909000047
- Wu, Z., Huang, N. E., 2004, Ensemble Empirical Mode Decomposition: A Noise-assisted Data Analysis Method, Advances in Adaptive Data Analysis, Vol. 1, No. 1, pp. 1-41.
- Lei, Y., He, Z. and Zi, Y., 2009, Application of the EEMD Method to Rotor Fault Diagnosis of Rotating Machinery, Mechanical Systems and Signal Processing, Vol. 23, No. 4, pp. 1327-1338. https://doi.org/10.1016/j.ymssp.2008.11.005
- Zhang, J., Yan, R., Gao, R. X. and Feng, Z., 2010, Performance Enhancement of Ensemble Empirical Mode Decomposition, Mechanical Systems and Signal Processing, Vol. 24, No. 7, pp. 2104- 2123. https://doi.org/10.1016/j.ymssp.2010.03.003
피인용 문헌
- Development of Acoustic Emission(AE) Sensor for Prognosis Detection of Bearing Fault vol.24, pp.6, 2014, https://doi.org/10.5050/KSNVE.2014.24.6.429
- Low speed bearings fault detection and size estimation using instantaneous angular speed vol.22, pp.15, 2016, https://doi.org/10.1177/1077546314560600