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基于知识重用的大型水轮机可拓方案设计
引用本文:王体春,钟诗胜.基于知识重用的大型水轮机可拓方案设计[J].计算机辅助设计与图形学学报,2008,20(2):239-245.
作者姓名:王体春  钟诗胜
作者单位:哈尔滨工业大学机电工程学院,哈尔滨,150001
摘    要:研究了知识表示与重用技术,提出一种基于可拓学原理和实例推理的知识重用方法.该方法用物元模型以定量与定性相结合的方式对实例推理中的实例和问题进行统一描述,采用基于距的检索算法获得符合设计制造要求的最佳匹配实例,应用可拓变换对检索实例进行适应性修改,以使新实例符合问题的需要.最后以大型水轮机选型方案设计为例进行了验证.

关 键 词:知识重用  可拓方案设计  物元模型  基于实例的推理  可拓变换
收稿时间:2007-06-25
修稿时间:2007-10-10

Extensible Scheme Design of Large-Scale Hydraulic Turbine Based on Knowledge Reuse
Wang Tichun,Zhong Shisheng.Extensible Scheme Design of Large-Scale Hydraulic Turbine Based on Knowledge Reuse[J].Journal of Computer-Aided Design & Computer Graphics,2008,20(2):239-245.
Authors:Wang Tichun  Zhong Shisheng
Abstract:The paper studies the representation and reuse of scheme design knowledge, and presents a knowledge reuse method based on extenics and case-based reasoning (CBR). In these methods, matter-element model in extenics is firstly applied in CBR to represent the cases and the problems, qualitatively and quantificationally. Distance from a point to an interval is presented to calculate the correlation from the case to the target interval. The optimal matched design case is achieved by adopting the correlation-based retrieving in cases. Methods of extension transformation are finally used in the case adaptation to fit the selected case into the target requirements. An example of turbine selection design is provided to examine the algorithm.
Keywords:knowledge reuse  extensible scheme design  matter-element model  case-based reasoning (CBR)  extension transformation
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