吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (01): 101-105.doi: 10.13229/j.cnki.jdxbgxb201401018

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Application of average rank time method in reliability modeling for subsystems

SHEN Gui-xiang1, MENG Shu1,2, ZHANG Ying-zhi1, QI Xiao-yan1, LUAN Lan1, SONG Qi1   

  1. 1. College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China;
    2. College of Management, Jilin University, Changchun 130022, China
  • Received:2013-02-04 Online:2014-01-01 Published:2014-01-01

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Abstract:

This paper presents a method of the reliability modeling of a series system. Such a system is composed of several mutual independent subsystems, and the system life-time obeys two-parameter Weibull distribution. In this method, when one of subsystems is failure, the fault data of the other subsystems are processed as censored data, and the failure sequence is revised using the average rank time method. This method can be applied for model parameter estimation and fitting test to reduce the modeling error and improve the accuracy. Finally, as a case study, the real data of a Computerized Numerical Control (CNC) are used to demonstrate the application of the proposed method, which verifies the effectiveness and applicability of the method.

Key words: machine tool, average rank time method, censoring data, series system, reliability modeling, Weibull distribution

CLC Number: 

  • TP202

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