Research Article | OPEN ACCESS
Research on Reliability Modelling Method of Machining Center Based on Monte Carlo Simulation
Chuanhai Chen, Zhaojun Yang, Fei Chen and Qingbo Hao
College of Mechanical Science and Engineering, Jilin University, Changchun, 130025, China
Research Journal of Applied Sciences, Engineering and Technology 2013 8:2671-2676
Received: September 14, 2012 | Accepted: October 19, 2012 | Published: March 15, 2013
Abstract
The aim of this study is to get the reliability of series system and analyze the reliability of machining center. So a modified method of reliability modelling based on Monte Carlo simulation for series system is proposed. The reliability function, which is built by the classical statistics method based on the assumption that machine tools were repaired as good as new, may be biased in the real case. The reliability functions of subsystems are established respectively and then the reliability model is built according to the reliability block diagram. Then the fitting reliability function of machine tools is established using the failure data of sample generated by Monte Carlo simulation, whose inverse reliability function is solved by the linearization technique based on radial basis function. Finally, an example of the machining center is presented using the proposed method to show its potential application. The analysis results show that the proposed method can provide an accurate reliability model compared with the conventional method.
Keywords:
Machining center, monte carlosimulation, radial basis function, reliability modelling, weibull distribution,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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