Towards an ontology-supported case-based reasoning approach for computer-aided tolerance specification
Towards an ontology-supported case-based reasoning approach for computer-aided tolerance specification
复制标题
面向计算机辅助公差规范的本体支持的基于案例的推理方法
DOI：
10.1016/j.knosys.2017.11.013
复制
发表时间：
2018
影响因子：
8.8
通讯作者：
Jiang Xiangqian
中科院分区：
文献类型：
--
作者：
Qin Yuchu;Lu Wenlong;Qi Qunfen;Liu Xiaojun;Paul J Scott;Jiang Xiangqian
提出了一种基于本体支持的实例推理的计算机辅助公差规格说明方法。该方法首先将过去的公差规范问题及其方案视为前一案例，将新的公差规范问题视为目标案例，并使用本体来表示前一案例和目标案例。然后采用一定的基于本体的相似性度量来评价目标的容差特征与先前实例之间的相似性、目标的零件特征与先前实例之间的相似性以及目标的拓扑关系与先前实例之间的相似性。在此基础上，设计了一种基于本体的相似性度量方法，用于计算目标案例与先前案例之间的相似性，并给出了一种高精度的相似性度量方法的建立和基于该相似性度量的目标案例的先前相似案例检索算法。该算法在保证相似性度量精度最高的前提下，将公差特征相似性、零件特征相似性和拓扑关系相似性线性联合收割机结合起来，评价目标与前一实例的相似性，实现对前一实例的检索。本文还报告了所提出的方法的原型实现，提供了一个例子来说明该方法是如何工作的，并通过理论和实验比较评估的方法。
In this paper, an ontology-supported case-based reasoning approach for computer-aided tolerance specification is proposed. This approach firstly considers the past tolerance specification problems and their schemes as previous cases and the new tolerance specification problems as target cases and uses an ontology to represent previous and target cases. Then certain ontology-based similarity measure is used to assess the similarity between the toleranced features of target and previous cases, the similarity between the part features of target and previous cases, and the similarity between the topological relations of target and previous cases. Based on these similarities, an ontology-based similarity measure for computing the similarity between target and previous cases is designed, and an algorithm for establishing such similarity measure with high accuracy and retrieving similar previous cases for a target case with this similarity measure is presented. This algorithm shows how to linearly combine the similarity of toleranced features, the similarity of part features, and the similarity of topological relations to assess the similarity between target and previous cases to implement retrieval of previous cases under the prerequisite of ensuring the highest accuracy of the similarity measure. The paper also reports a prototype implementation of the proposed approach, provides an example to illustrate how the approach works, and evaluates the approach via theoretical and experimental comparisons.