Application of the Average Rank Time Method in Parameter Estimation for Fixed-Time Censoring Experiment

Shu Meng; Gui Xiang Shen; Ying Zhi Zhang; Shu Guang Sun; Qi Song

doi:10.4028/www.scientific.net/AMM.556-562.4146

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Application of the Average Rank Time Method in...

Application of the Average Rank Time Method in Parameter Estimation for Fixed-Time Censoring Experiment

Abstract:

In this paper, the parameter estimation problem of products which are mutually independent and whose life belongs to two parameters Weibull distribution in fixed-time censoring experiment is discussed. And the rank of failure data is corrected by average rank time method, when the censoring experiments appeared. It is found that the method not only achieves the same effect for likelihood function theory, but also has the characters of high precision, simple process, no programming calculation, when model optimization is done by correlation index method. Finally, take field test data of a machine tool as an example to introduce the specific application process of this method, in order to verify the effectiveness and practical applicability.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

4146-4150

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.4146

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Online since:

May 2014

Authors:

Shu Meng*, Gui Xiang Shen, Ying Zhi Zhang, Shu Guang Sun, Qi Song

Keywords:

Average Rank Time Method, Correlation Index, Fixed-Time Censoring Experiment, Parameter Estimation, Weibull Distribution

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