کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
383681 | 660829 | 2012 | 14 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Eliciting a human understandable model of ice adhesion strength for rotor blade leading edge materials from uncertain experimental data Eliciting a human understandable model of ice adhesion strength for rotor blade leading edge materials from uncertain experimental data](/preview/png/383681.png)
The published ice adhesion performance data of novel “ice-phobic” coatings varies significantly, and there are not reliable models of the properties of the different coatings that help the designer to choose the most appropriate material. In this paper it is proposed not to use analytical models but to learn instead a rule-based system from experimental data. The presented methodology increases the level of post-processing interpretation accuracy of experimental data obtained during the evaluation of ice-phobic materials for rotorcraft applications. Key to the success of this model is a possibilistic representation of the uncertainty in the data, combined with a fuzzy fitness-based genetic algorithm that is capable to elicit a suitable set of rules on the basis of incomplete and imprecise information.
► Analysis of the causes of inconsistent ice accretion strength data in the literature.
► Improved evaluation of ice-phobic materials for rotorcraft applications.
► Increased post-processing interpretation accuracy of experimental data.
► New modeling methodology based on a possibilistic representation of uncertainty.
Journal: Expert Systems with Applications - Volume 39, Issue 11, 1 September 2012, Pages 10212–10225