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Online fault detection system for proportional hydraulic valves

  • Henrique Raduenz
  • Yesid Ernesto Asaff Mendoza
  • Desyel Ferronatto
  • Fábio José Souza
  • Pedro Paulo da Cunha Bastos
  • João Marcos Castro Soares
  • Victor Juliano De Negri
Original Paper
  • 77 Downloads

Abstract

This paper presents the development of a method for condition monitoring and online fault detection on proportional directional valves. The systems that such valves are part of might be sensitive for unexpected maintenance or long duration stops. Consequently, the implementation of a fault detection and monitoring system can reduce maintenance costs and increase safety. The method is based on monitoring both the valve supply current and spool position related to the spool positioning control signal. Therefore, it is applicable for valves with embedded electronics including spool position measurement and internal controller. The supply current and spool position behavior depends on the friction, flow forces, solenoid current, and valve closed loop controller performance. Furthermore, valve static and dynamic characteristics are influenced by the spool size, overlapping and manufacturing tolerances. The effectiveness of the method to monitor and detect faults in valves with different sizes and constructive parameters is shown experimentally using five different proportional valves. The proposed method requires reference parameters characterizing the valve operation without faults. Standard tests are proposed to determine healthy valve parameters. For the method valuation and validation, experimental results with the valve operating under healthy conditions and with induced faults were compared. Faults were added in a way to represent spool locking and increase of friction forces between the spool and sleeve. The obtained results show the capability the method for the detection of faults classified as severe even if the valve controller attempts to compensate the faulty behavior.

Keywords

Proportional valve Condition monitoring Fault detection Positioning system 

Notes

Acknowledgements

This work was supported by the CNPq (the Brazilian National Council for Scientific and Technological Development), call MCTI/SETEC/CNPq No 17/2012 RHAE, Grant No 456471/2012-0.

References

  1. 1.
    Muenchhof M, Beck M, Isermann R (2009) Fault tolerant actuators and drives—structures, fault detection principles and applications. In: 7th IFAC symposium on fault detection, supervision and safety of technical processes. Barcelona, Spain. ISBN: 978-1-61738-027-3Google Scholar
  2. 2.
    Ramos Filho JRB (2009) Análise teórico-experimental de falhas em válvulas direcionais servoproporcionais. Master thesis, Federal University of Santa Catarina, Florianópolis, BrazilGoogle Scholar
  3. 3.
    Samadani M, Kitio Kwuimy CA, Nataraj C (2014) Fault detection and severity analysis of servo valves using recurrence quantification analysis. In: Annual conference of the prognostics and health management society. Texas, USA. ISBN: 978-1-936263-17-2Google Scholar
  4. 4.
    Nurmi J, Mattila J (2012) Detection and isolation of leakage and valve faults in hydraulics systems in varying loading conditions, Part 2: fault detection and isolation scheme. Int J Fluid Power 13(1):17–27.  https://doi.org/10.1080/14399776.2012.10781043 CrossRefGoogle Scholar
  5. 5.
    An L, Sepehri N (2008) Leakage fault detection in Hydraulic actuators subject to unknown external loading. Int J Fluid Power 9(2):15–25.  https://doi.org/10.1080/14399776.2008.10781301 CrossRefGoogle Scholar
  6. 6.
    Khan H, Seraphin C, Sepehri N (2005) Nonlinear observer-based fault detection technique for electro-hydraulic servo-positioning systems. Mechatron Sci Intell Mach 15(9): 1037–1059. ISSN: 0957-4158Google Scholar
  7. 7.
    Shi Z, Gu F, Lennox B, Ball AD (2005) The development of an adaptive threshold for model-based fault detection of a nonlinear electro-hydraulic system. Control Eng Pract 13(11): 1357–1367. ISSN: 0967-0661Google Scholar
  8. 8.
    Nahian SA, Truong DQ, Chowdhury P, Das D, Ahn KK (2016) Modeling and fault tolerant control of an Electro-hydraulic actuator. Int J Precis Eng Manuf 17(10):1285–1297.  https://doi.org/10.1007/s12541-016-0153-2 CrossRefGoogle Scholar
  9. 9.
    Ramos Filho JRB, De Negri VJ (2013) Model-based fault detection for hydraulic servoproportional valves. In: 13th Scandinavian international conference on fluid power proceedings—SICFP2013. Linköping, Sweden.  https://doi.org/10.3384/ecp1392a38
  10. 10.
    Isermann R (2006) Fault-diagnosis systems—an introduction from fault detection to fault tolerance. Springer, Berlin. ISBN 978-3-540-24112-6CrossRefGoogle Scholar
  11. 11.
    Ferronatto D, Mendoza YEA, Bastos PPC, Souza FJ, Raduenz H, De Negri VJ, Soares JMC (2015) Proportional hydraulic valve condition monitoring method for on-line fault detection. In: 23rd international congress of mechanical engineering—COBEM2015. Rio de Janeiro, Brazil.  https://doi.org/10.20906/cps/cob-2015-0432
  12. 12.
    Raduenz H., Souza FJ, Bastos PPC, Ferronatton D, De Negri VJ, Soares JMC (2016) Evaluation of an on-line fault detection method for proportional hydraulic valves. In: Proceedings of the ASME 9th FPNI Ph.D. symposium on fluid power—FPNI2016. Florianópolis, Brazil.  https://doi.org/10.1115/fpni2016-1569
  13. 13.
    Merrit HE (1967) Hydraulic control systems. Wiley, New YorkMATHGoogle Scholar
  14. 14.
    Ferronatto D (2011) Análise da influência de parâmetros geométricos em curvas características de válvulas de controle contínuo direcional. Master thisis, Federal University of Santa Catarina, Florianópolis, BrazilGoogle Scholar
  15. 15.
    Ferronatto D, Soares JMC, De Negri VJ (2014) Analysis of the influence of geometric parameters on the characteristic curves of directional control valves. In: The 9th international fluid power conference, 9. IFK. Aachen, GermanyGoogle Scholar
  16. 16.
    Eryilmaz B, Wilson BH (2005) Unified modeling and analysis of a proportional valve. J Frankl Inst, vol 343(1). Philadelphia, USA. ISSN: 0016-0032Google Scholar
  17. 17.
    Mannesmann Rexroth (1989) The hydraulic trainer volume 2: proportional and servo valve technology. Mannesmann Rexroth AG, Lohr am MainGoogle Scholar
  18. 18.
    Glibisco S (2002) Teach yourself electricity and electronics, 3rd edn. McGraw-Hill, New YorkGoogle Scholar
  19. 19.
    Bhojkar A (2004) fault simulator for proportional solenoid valves. Master thesis, University of Saskatchewan, Saskatoon, CanadaGoogle Scholar
  20. 20.
    Bosch Rexroth (20–) 4/4-way servo solenoid directional control valves, directly operated, with electrical position feedback and on-board electronics (OBE)—type 4WRPEH6—RE 29035/10.10 (2014) Catalog. https://www.boschrexroth.com/en/us/products/product-groups/goto-products/goto-hydraulics/proportional-valves/4wrph-and-4wrpeh-series-2x/index
  21. 21.
    Atos spa (20--) F165-3/E – High performance proportional directional valves – direct operated, with position transducer and positive spool overlap (2014) Catalog. http://www.atos.com/home/catalogue-online/proportional-directional.html
  22. 22.
    Atos spa (20--) 168-0/E – Servoproportional directional valves – direct operated, with position transducer and zero spool overlap (2014) Catalog. http://www.atos.com/home/catalogue-online/proportional-directional.html

Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2018

Authors and Affiliations

  • Henrique Raduenz
    • 1
  • Yesid Ernesto Asaff Mendoza
    • 2
  • Desyel Ferronatto
    • 3
  • Fábio José Souza
    • 3
  • Pedro Paulo da Cunha Bastos
    • 3
  • João Marcos Castro Soares
    • 3
  • Victor Juliano De Negri
    • 1
  1. 1.Mechanical Engineering Department, LASHIPFederal University of Santa CatarinaFlorianópolisBrazil
  2. 2.Mobility Engineering CenterFederal University of Santa CatarinaJoinvilleBrazil
  3. 3.REIVAX S/A Automation and ControlFlorianópolisBrazil

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