Life Expectancy and Its Reliability Analysis of Hydraulic Hose Based on Impulse Test

  • Yin LvEmail author
  • Keli Xing
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1117)


In this paper, a hydraulic hose impulse test bench has been developed. The impulse test of the same specification hydraulic hose has been carried out using the hydraulic hose impulse test bench and the test data have been collected. Based on Weibull distribution, the life expectancy and confidence interval of the specification hose are obtained by using Matlab to calculate the hose impulse test data. Finally, Kolmogorov–Smirnov test of the hose impulse test data is performed using Kolmogorov test table, thus confirming the reliability of the test data. According to research, it is proposed that Weibull distribution can be used to analyze the life expectancy of the hose, thereby reducing the number of trials and energy consumption and protect the environment.


Hydraulic hose impulse test bench Life expectancy Weibull distribution Kolmogorov–Smirnov test 


  1. 1.
    Lv, Z., Yao, W.: Determining fatigue life distribution with small samples. Chin. J. Appl. Mech. 25(2), 323–326 (2017)Google Scholar
  2. 2.
    Cho, J.R., Yoon, Y.H., Seo, C.W., Kim, Y.G.: Fatigue life assessment of fabric braided composite rubber hose in complicated large deformation cyclic motion. Finite Elem. Anal. Des. 100, 65–76 (2015)MathSciNetCrossRefGoogle Scholar
  3. 3.
    Drinkaus, P., Armstrong, T., Foulke, J.: Investigation of flexible hose insertion forces and selected factors. Appl. Ergon. 40, 39–46 (2009)CrossRefGoogle Scholar
  4. 4.
    Pavlov, A.I., Polyanin, I.A., Kozlov, K.E.: Improving the reliability of hydraulic drives components. Procedia Eng. 206, 1629–1635 (2017)CrossRefGoogle Scholar
  5. 5.
    Fang, Z., Gao, L.: Estimation of parameters of three-parameter Weibull distribution in life analysis. J. Armored Force Eng. Inst. 13(1), 70–74 (1999)Google Scholar
  6. 6.
    Moebus, F., Pardal, J.M., dos Santos, C.A., Taraves, S.S.M., Louzada, P.A., Barbosa, C., dos Santos, D.S.: Failure analysis in high pressure thermoplastic hose fittings submitted to cold forming by swaging process. Eng. Fail. Anal. 74, 150–158 (2017)CrossRefGoogle Scholar
  7. 7.
    Huang, R., Carriere, K.C.: Comparison of methods for incomplete repeated measures data analysis in small samples. J. Stat. Plan. Inference 136, 235–247 (2006)MathSciNetCrossRefGoogle Scholar
  8. 8.
    Kwak, S.-B., Choi, N.-S.: Micro-damage formation of a rubber hose assembly for automotive hydraulic brakes under a durability test. Eng. Fail. Anal. 16, 1262–1269 (2009)CrossRefGoogle Scholar
  9. 9.
    Zhang, Z.: Failure analysis of Open image in new window 10 mm, Open image in new window 14 mm high-pressure polytetrafluoroethylene hose assemblies during pulse test and the improvement. Shanghai Chem. Ind. 139(6), 18–23 (2014)Google Scholar
  10. 10.
    Zhu, F., Yi, M., Ma, L., Du, J.: The reliability and life index of hydraulic components with grey prediction methods. Huazhong Univ. Sci. Tech. 24(12), 24–25 (1996)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Electromechanical Engineering and AutomationShanghai UniversityShanghaiChina

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