Please use this identifier to cite or link to this item:
https://ir.vidyasagar.ac.in/jspui/handle/123456789/877| Title: | A New Fuzzy Reliability Model to Avoid Resonance and its Numerical Solutions |
| Authors: | Zhang, Meng Lu, Shan |
| Keywords: | reliability model numerical method coefficient of variation sample distribution fuzzy degree |
| Issue Date: | 11-Nov-2013 |
| Publisher: | Vidyasagar University , Midnapore , West-Bengal , India |
| Series/Report no.: | Journal of Physical Science;17 |
| Abstract: | There is a lot of fuzziness in resonance problem. Translating the fuzzy membership function into probability density function by using the normalized method, the fuzzy reliability model of blade to avoid resonance was established. Two methods were proposed to solve the model, which were called direct sampling method and typical distribution sampling method respectively, and the calculation formulas of their corresponding coefficients of variation were given. Some examples were carried out to compare the two methods and study the influence of fuzzy degrees on reliability. |
| URI: | http://inet.vidyasagar.ac.in:8080/jspui/handle/123456789/877 |
| ISSN: | 0972-8791 |
| Appears in Collections: | Journal of Physical Sciences Vol.17 [2013] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JPS-v17-5.pdf | 341.05 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.