• DocumentCode
    127064
  • Title

    Reliability modeling of a jet pipe electrohydraulic servo valve

  • Author

    Meng Xu ; Shengkui Zeng ; Jianbin Guo

  • Author_Institution
    Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    27-30 Jan. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The hydraulic system and its components can accumulate a significant amount of contaminant after running for a period of time. The accumulated contaminant in the component will degrade its performance and even cause catastrophic failure. Traditional models are distinctly deficient when applied to analyze the performance degradation. In this paper, an improved method is proposed to trace the performance degradation during a long time operation. By means of a novel failure injection performance degradation simulation framework (FIPDS) to inject failure mechanisms into the performance model, we develop a complete reliability model of a jet pipe electrohydraulic servo valve considering multiple failure modes and mechanisms based on failure modes, mechanisms, and effects analysis (FMMEA). The performance indexes rated flow and null bias are obtained from the model simulation to evaluate the performance degradation. Simulation results demonstrate the feasibility of the method in this research.
  • Keywords
    electrohydraulic control equipment; failure analysis; pipes; reliability; servomechanisms; valves; FIPDS; FMMEA; failure injection performance degradation simulation framework; failure mechanisms; failure modes mechanisms effects analysis; jet pipe electrohydraulic servovalves; reliability modeling; Analytical models; Degradation; Failure analysis; MATLAB; Reliability; Servomotors; Valves; Degradation; Failure mechanism; Jet pipe electrohydraulic servo valve; Reliability; modeling and simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium (RAMS), 2014 Annual
  • Conference_Location
    Colorado Springs, CO
  • Print_ISBN
    978-1-4799-2847-7
  • Type

    conf

  • DOI
    10.1109/RAMS.2014.6798480
  • Filename
    6798480