Study on the Law of Wheel Wear Based on Copula

Abstract:

The law of wheel wear is the basis for making turning repair cycle, and is one of the most important guarantees for the safe and stable running of train. A statistical analysis of individual wheel wear parameter was carried out based on wheel profile data of CRH2. The change law of individual wear parameter with mileage showed that wear process of wheel could be divided into two periods: the run-in period and the stable wear period. The paper has realized to research on the correlation between nominal wheel diameter abrasion value and wheel flange thickness variation based on Copula, too. Frank Copula was selected to describe correlation of the two wear parameters, the correlation index (α) of Frank Copula was estimated and the joint distribution function considering dependence was given. The value of α indicated that there was a weak positive correlation between the two wears, which can be ignored for calculating the accumulative failure rate of wheel wear. So the two wear parameters can be regarded as independent random variables during failure analysis of wheel wear.

• Periodical: Applied Mechanics and Materials (Volumes 427-429)
• Pages: 246-251
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.427-429.246
• Online since: September 2013
• Authors: Ya Nan Jiang*, Wei Hua Zhang, Dong Li Song
• Keywords: Copula Function, Correlation, CRH2 High Speed Train, Wheel Wear

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