DOI QR코드

DOI QR Code

VIBRATION SIGNAL ANALYSIS OF MAIN COOLANT PUMP FLYWHEEL BASED ON HILBERT-HUANG TRANSFORM

  • LIU, MEIRU (Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, College of Nuclear Science and Technology, Harbin Engineering University) ;
  • XIA, HONG (Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, College of Nuclear Science and Technology, Harbin Engineering University) ;
  • SUN, LIN (Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, College of Nuclear Science and Technology, Harbin Engineering University) ;
  • LI, BIN (Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, College of Nuclear Science and Technology, Harbin Engineering University) ;
  • YANG, YANG (Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, College of Nuclear Science and Technology, Harbin Engineering University)
  • Received : 2014.10.10
  • Accepted : 2014.12.10
  • Published : 2015.03.25

Abstract

In this paper, a three-dimensional model for the dynamic analysis of a flywheel based on the finite element method is presented. The static structure analysis for the model provides stress and strain distribution cloud charts. The modal analysis provides the basis of dynamic analysis due to its ability to obtain the natural frequencies and the vibration-made vectors of the first 10 orders. The results show the main faults are attrition and cracks, while also indicating the locations and patterns of faults. The harmonic response simulation was performed to gain the vibration response of the flywheel under operation. In this paper, we present a Hilbert-Huang transform (HHT) algorithm for flywheel vibration analysis. The simulation indicated that the proposed flywheel vibration signal analysis method performs well, which means that the method can lay the foundation for the detection and diagnosis in a reactor main coolant pump.

Keywords

References

  1. Z. Liu, J. Peng, Model analysis of vibrating screen's eccentric shaft based on ANSYS, Machinery 37 (2010) 2.
  2. Y. Zhang, Mechanical Vibration, Tsinghua University Press, Beijing, 2007.
  3. A. Sun, J. Wang, FEM modal dynamics analysis of spindle base on ANSYS, Coal Mine Mach. 29 (2007) 7.
  4. A. Yuan, J. Chen, Application of ANSYS in modal analysis, Manuf. Inf. Eng. China 36 (2007) 11.
  5. J. Shao, W. Li, Modal and harmonic analysis based on ANSYS for electroplated CBN grinding wheel, Mech. Eng. Autom. 2 (2011).
  6. S.S. Khadapkar, Failure Identification of Gear Systems Using Hilbert-Huang Transform and Artificial Neural Networks, PhD Dissertation, Bharati Vidyapeeth's College of Engineering, 2003.
  7. P. Flandrin, G. Rilling, P. Goncalves, Empirical mode decomposition as a filter bank, IEEE Signal Process. Lett. 11 (2004) 2. https://doi.org/10.1109/LSP.2004.827053

Cited by

  1. Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory vol.15, pp.11, 2015, https://doi.org/10.3390/s151128772
  2. The Methods of Condition Monitoring for Circulator of HTGR vol.1198, pp.2, 2015, https://doi.org/10.1088/1742-6596/1198/2/022054