Advertisement

Journal of Failure Analysis and Prevention

, Volume 17, Issue 6, pp 1174–1181 | Cite as

Anomaly Detection in a Reactor Coolant Pump Flywheel System via Pulse Shape Analysis

  • H. A. Gabbar
  • C. U. Mba
  • S. Marchesiello
  • A. Fasana
  • L. Garibaldi
Technical Article---Peer-Reviewed
  • 98 Downloads

Abstract

In this study, a method that discriminates between anomalies present or absent in the vibration signal of a flywheel system is developed. First by means of MATLAB and Simulink, a simple flywheel system under different feasible conditions is simulated using equations of motion to capture the dynamic behaviors of the components of the system along their lines of action. The resulting vibration signals obtained from the simulations are combined with varying levels of noise and then subjected to pulse shape analysis (PSA). PSA is a tool that has been mostly used in the field of nuclear engineering, and it is explored and used differently here with the objective of developing a suitable PSA algorithm that can differentiate between vibration signals based on the presence or absence of an anomaly. The algorithm is a time-domain technique with minimal computational time that can be very easily applied. At the end, it is shown that the developed PSA algorithm can identify an anomaly in a vibration signal on the basis of a defined pattern under certain attainable conditions.

Keywords

Reactant coolant pump Flywheel system Vibrations Pulse shape analysis Anomaly detection 

References

  1. 1.
    H. Liu, J. Jiang, Flywheel energy storage—an upswing technology for energy sustainability. Energy Build. 39(5), 599–604 (2007)CrossRefGoogle Scholar
  2. 2.
    L. Jiang, W. Zhang, G.J. Ma, C.W. Wu, Shape optimization of energy storage flywheel rotor. Struct. Multidiscipl. Optim. 55(2), 739–750 (2017)Google Scholar
  3. 3.
    J.-S. Park et al., A structural integrity evaluation for the interference-fit flywheel of reactor coolant pump, in ASME/JSME 2004 Pressure Vessels and Piping Conference, American Society of Mechanical Engineers (2004)Google Scholar
  4. 4.
    M. Liu et al., Vibration signal analysis of main coolant pump flywheel based on Hilbert–Huang transform. Nucl. Eng. Technol. 47(2), 219–225 (2015)CrossRefGoogle Scholar
  5. 5.
    M.S. Lebold et al., A non-intrusive technique f or on-line shaft crack detection and tracking, in Aerospace Conference, 2005 IEEE, IEEE (2005)Google Scholar
  6. 6.
    S. Marrone et al., Pulse shape analysis of liquid scintillators for neutron studies. Nucl. Instrum. Methods Phys. Res., Sect. A 490(1), 299–307 (2002)CrossRefGoogle Scholar
  7. 7.
    F. Benrachi et al., Investigation of the performance of CsI (Tl) for charged particle identification by pulse-shape analysis. Nucl. Instrum. Methods Phys. Res., Sect. A 281(1), 137–142 (1989)CrossRefGoogle Scholar
  8. 8.
    G. Gerbier et al., Pulse shape discrimination and dark matter search with NaI (Tl) scintillator. Astropart. Phys. 11(3), 287–302 (1999)CrossRefGoogle Scholar
  9. 9.
    J. Hellmig, H. Klapdor-Kleingrothaus, Identification of single-site events in germanium detectors by digital pulse shape analysis. Nucl. Instrum. Methods Phys. Res., Sect. A 455(3), 638–644 (2000)CrossRefGoogle Scholar
  10. 10.
    G. Pausch, W. Bohne, D. Hilscher, Particle identification in solid-state detectors by means of pulse-shape analysis—results of computer simulations. Nucl. Instrum. Methods Phys. Res., Sect. A 337(2–3), 573–587 (1994)CrossRefGoogle Scholar
  11. 11.
    S. Hussain, H.A. Gabbar, A novel method for real time gear fault detection based on pulse shape analysis. Mech. Syst. Signal Process. 25(4), 1287–1298 (2011)CrossRefGoogle Scholar
  12. 12.
    R.B. Randall, J. Antoni, Rolling element bearing diagnostics—a tutorial. Mech. Syst. Signal Process. 25(2), 485–520 (2011)CrossRefGoogle Scholar

Copyright information

© ASM International 2017

Authors and Affiliations

  1. 1.Faculty of Engineering and Applied ScienceUniversity of Ontario Institute of TechnologyOshawaCanada
  2. 2.DIRG, Department of Mechanical and Aerospace EngineeringPolitecnico di TorinoTurinItaly

Personalised recommendations