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NTIS 바로가기大韓機械學會論文集. Transactions of the Korean Society of Mechanical Engineers. A. A, v.39 no.8, 2015년, pp.801 - 806
전병철 (서울대학교 기계항공공학부) , 정준하 (서울대학교 기계항공공학부) , 윤병동 (서울대학교 기계항공공학부) , 김연환 (한국전력 전력연구원 발전연구소) , 배용채 (한국전력 전력연구원 발전연구소)
Journal bearings support rotors using fluid film between the rotor and the stator. Generally, journal bearings are used in large rotor systems such as turbines in a power plant, because even in high-speed and load conditions, journal bearing systems run in a stable condition. To enhance the reliabil...
Yu, Y., Yu, D. and Junsheng, C., 2006, "A Roller Bearing Fault Diagnosis Method Based on EMD Energy Entropy and ANN," Journal of Sound and Vibration, Vol. 294, No. 1-2, pp. 269-277.
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Yang, B. S. and Kim, K. J., 2006, "Application of Dempster-Shafer Theory in Fault Diagnosis of Induction Motors Using Vibration and Current Signals," Mechanical Systems and Signal Processing, Vol. 20, No. 2, pp. 403-420.
Kowalski, C. T. and Orlowska-Kowalska, T., 2003, "Neural Networks Application for Induction Motor Faults Diagnosis," Mathematics and Computers in Simulation, Vol. 63, Issues 3-5, pp. 435-448.
Zeidan, F. Y. and Herbage, B. S., 1991, "Fluid Film Bearing Fundamentals and Failure Analysis," Proceedings of the Twentieth Turbomachinery Symposium, pp. 161-186.
He, M., Cloud, C. H. and Byrne, J. M., 2005, "Fundamentals of Fluid Film Journal Bearing Operation and Modeling," Proceedings of the Thirty-Fourth Turbomachinery Symposium, pp. 155-175.
Widodo, A. and Yang, B. S., 2007, "Support Vector Machine in Machine Condition Monitoring and Fault Diagnosis," Mechanical Systems and Signal Processing, Vol. 21, No. 6, pp. 2560-2574.
Kankar, P. K., Sharma, S. C. and Harsha, S. P., 2011, "Fault Diagnosis of Ball Bearings Using Machine Learning Methods," Expert Systems with Applications, Vol. 38, No. 3, pp. 1876-1886.
Chiang, L. H., Kotanchek, M. E. and Kordon, A. K., 2004, "Fault Diagnosis Based on Fisher Discriminant Analysis and Support Vector Machines," Computers & Chemical Engineering, Vol. 28, No. 8, pp. 1389-1401.
Sreejith, B., Verma, A. K. and Srividya, A., 2008, "Fault Diagnosis of Rolling Element Bearing Using Time-domain Features and Neural Networks," IEEE Region 10 and the Third International Conference on Industrial and Information Systems, pp. 1-6.
Theodoridis, S. and Koutroumbas, K., 2008, Pattern Recognition, Academic Press, Burlington, pp. 261- 310.
Friswell, M. I., Penny, J. E. T., Garvey, S. D. and Lees, A. W., 2010, Dynamics of Rotating Machines, Cambridge, New York, pp. 60-64.
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