Transactions of the Korean Society for Noise and Vibration Engineering (한국소음진동공학회논문집)

The Korean Society for Noise and Vibration Engineering (한국소음진동공학회)
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Study on Rub Vibration of Rotary Machine for Turbine Blade Diagnosis

터빈 블레이드 진단을 위한 회전기계 마찰 진동에 관한 연구

  • Received : 2016.08.09
  • Accepted : 2016.09.26
  • Published : 2016.11.20
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Abstract

Rubbing and misalignment are the most usual faults that occurs in rotating machinery and with them severe effect on power plant availability. Especially blade rubbing is hard to detect on FFT spectrum using the vibration signal. In this paper, the possibility of feature analysis of vibration signal is confirmed under blade rubbing and misalignment condition. And the lab-scale rotor test device provides the blade rubbing and shaft misalignment modes. Feature selection based on GA (genetic algorithm) is processed by the extracted feature of the time domain. Then, classification of the features is analyzed by using SVM (support vector machine) which is one of the machine learning algorithm. The results of features selection based on GA compared with those based on PCA (principal component analysis). According to the results, the possibility of feature analysis is confirmed. Therefore, blade rubbing and shaft misalignment can be diagnosed by feature of vibration signal.

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References

  1. Yang, K. H., Song, O. S., Cho, C. H., Yun, W. N. and Jung, N. G., 2010, Fracture Mechanism of Gas Turbine Compressor Blades in a Combined Cycle Power Plant, Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 20, No. 11, pp. 1025~1032. https://doi.org/10.5050/KSNVE.2010.20.11.1025
  2. Versicherungs-AG, A., 1978, Handbook of Loss Prevention, Springer Berlin Heidelberg.
  3. Al-Badour, F., Sunar, M. and Cheded, L., 2011, Vibration Analysis of Rotating Machinery Using Time-frequency Analysis and Wavelet Techniques, Mechanical Systems and Signal Processing, Vol. 25, No. 6, pp. 2083~2101. https://doi.org/10.1016/j.ymssp.2011.01.017
  4. Yang, S. H., Park, C. H., Kim, C. S. and Ha, H. C., 2002, Examination of the Periodic High Vibration by the Accumulated Carbide at Oil Deflector of a Steam Turbine for Power Plant, Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 11, No. 12, pp. 897~903.
  5. Chen, G., 2014, Study on the Recognition of Aero-engine Blade-casing Rubbing Fault based on the Casing Vibration Acceleration, Measurement, Vol. 65, pp. 71~80.
  6. Beatty, R. F., 1985, Differentiating Rotor Response Due to Radial Rubbing, Journal of Vibration and Acoustics, Stress, and Reliability in Design, Vol. 107, No. 2 pp. 151~160. https://doi.org/10.1115/1.3269238
  7. Huang, C. L. and Wang, C. J., 2006, A GA-based Feature Selection and Parameters Optimization for Support Vector Machines, Expert Systems with Applications, Vol. 31, No. 2, pp. 231~240. https://doi.org/10.1016/j.eswa.2005.09.024
  8. Widodo, A. and Yang, B. S., 2007, Support Vector Machine in Machine Condition Monitoring and Fault Diagnosis, Mechanical Systems and Signal Processing, Vol. 21, pp. 2560~2574. https://doi.org/10.1016/j.ymssp.2006.12.007
  9. Muszynska, A., 1984, Partial Lateral Rotor to Stator Rubs, ImechEC281/84, pp. 327~335.
  10. Choi, Y. S., 2000, Experimental Investigation of Partial Rotor Rub, KSME International Journal, Vol. 14, No. 11, pp. 1250~1256.
  11. Essinger, J., Shaft Alignment, 1995 Proceedings of The International Pump Users Symposium. Texas A&M University System.

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