Statistical Distribution Models of Clutch Service Load

Chang Gao Xia; Meng Zhang; Xiang Gao; Zhen Yu Zhang

doi:10.4028/www.scientific.net/AMR.403-408.5244

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408Statistical Distribution Models of Clutch Service...

Statistical Distribution Models of Clutch Service Load

Abstract:

The mixed distribution model and the maximum entropy model are used to represent service load of the vehicle clutch. The parameters of those models are estimated with different methods. The findings indicate that maximum entropy distribution can accurately describe different statistical features of random variables as minimally prejudiced probability distribution if order of the distribution function is properly selected, and that the mixed Weibull distribution shows super performance of the complicated statistical model expression. The parameters of those models are estimated by optimization based on non-linear least squares.

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Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

5244-5249

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.5244

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Online since:

November 2011

Authors:

Chang Gao Xia, Meng Zhang, Xiang Gao, Zhen Yu Zhang

Keywords:

Mixed Distribution, Random Variable, Statistical Model

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