An integrated approach for reliability prediction of hydraulic system based on grey system theory and GO methodology

Authors

  • Jian Liu College of Engineering and Technology, Southwest University, Chongqing, 400715, China

Abstract

The reliability of hydraulic systems is a key factor to ensure the safe and stable operation of equipment. It is very important to predict the reliability of the hydraulic system. Without considering the changes of reliability and failure rate during running time, the traditional method for reliability prediction cannot easily reflect the impact of processes under different operational conditions on reliability. To address this issue, this paper presents an integrated approach to predict the reliability of hydraulic systems for industrial applications. We do this by combining grey system theory and GO methodology. In order to validate the proposed approach, the grey model GM(1,1) is tested on practice data from industrial production. The GO model can then be established to predict the reliability of the hydraulic system by considering the various failure rates. Eventually, a case of a hydraulic system in a machining center is used to illustrate the method. The result demonstrates that the GO chart with grey dynamic prediction can be used to predict the reliability of hydraulic system successfully and more precisely.

Keywords: Grey system theory, GO methodology, Hydraulic system, Reliability prediction

Cite As

J. Liu, "An integrated approach for reliability prediction of hydraulic system based on grey system theory
and GO methodology", Engineering Intelligent Systems, vol. 26 no. 2-3, pp. 49-56, 2018.






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Published

2018-06-01

Issue

Vol. 26 No. 2-3 (2018): International Journal of Engineering Intelligent Systems

Section

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