Research Article | OPEN ACCESS
Significance Test of Reliability Evaluation with Three-parameter Weibull Distribution Based on Grey Relational Analysis
Xintao Xia, Yantao Shang, Yinping Jin and Long Chen
Mechatronical Engineering College, Henan University of Science and Technology, Luoyang 471003, China
Research Journal of Applied Sciences, Engineering and Technology 2013 5:883-888
Received: October 22, 2012 | Accepted: December 20, 2012 | Published: June 25, 2013
Abstract
With the aid of the grey system theory, the grey relational analysis of the reliability with the three-parameter Weibull distribution is made for the Weibull parameter evaluation and its significance test. Via the theoretical value set and the experimental value set of the reliability relied on the lifetime data of a product, the model of the constrained optimization of the Weibull parameter evaluation based on the maximum grey relational grade. The grey significance of the reliability function with the three-parameter Weibull distribution is tested by means of the proposed criterion of the grey significance analysis of the reliability evaluation at the given grey confidence level. The cases of the helicopter component, the specimen and the ceramic material show that the grey relational analysis of the reliability is effective in the Weibull parameter evaluation and its significance test.
Keywords:
Grey relational analysis, parameter evaluation, reliability, product, significance test, three-parameter 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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