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.
| Original language | English |
|---|---|
| Title of host publication | MEMS, NANO and Smart Systems |
| Pages | 5244-5249 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2012 |
| Externally published | Yes |
| Event | 2011 7th International Conference on MEMS, NANO and Smart Systems, ICMENS 2011 - Kuala Lumpur, Malaysia Duration: 4 Nov 2011 → 6 Nov 2011 |
Publication series
| Name | Advanced Materials Research |
|---|---|
| Volume | 403-408 |
| ISSN (Print) | 1022-6680 |
Conference
| Conference | 2011 7th International Conference on MEMS, NANO and Smart Systems, ICMENS 2011 |
|---|---|
| Country/Territory | Malaysia |
| City | Kuala Lumpur |
| Period | 4/11/11 → 6/11/11 |
Keywords
- Mixed distribution
- Random variable
- Statistical model
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Xia, C., Zhang, M., Gao, X., & Zhang, Z. (2012). Statistical distribution models of clutch service load. In MEMS, NANO and Smart Systems (pp. 5244-5249). (Advanced Materials Research; Vol. 403-408). https://doi.org/10.4028/www.scientific.net/AMR.403-408.5244