Ontology and CBR based automated decision-making method for the disassembly of mechanical products
Ontology and CBR based automated decision-making method for the disassembly of mechanical products
复制标题
基于本体和CBR的机械产品拆解自动化决策方法
DOI：
10.1016/j.aei.2016.06.005
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发表时间：
2016-08-01
影响因子：
8.8
通讯作者：
Zhu, Xiaomin
中科院分区：
文献类型：
--
作者：
Chen, Shaoli;Yi, Jianjun;Zhu, Xiaomin
提出了一种基于本体和基于实例推理(CBR)的方法，克服了计算机难以理解各种机械产品复杂结构的问题，使产品拆卸决策过程完全自动化，节约了成本。该方法(1)将本体概念应用到拆卸决策中。这使计算机能够理解和自我推理基于CBR/RBR(基于规则的推理)的拆卸决策过程。由于本体统一了来自不同来源的各种拆卸相关知识，实现了知识的集成和共享；(2)将本体与CBR相结合，实现了对各种条件的高质量柔性决策；(3)为了实现CBR失效时的决策，设计了一种基于本体的RBR方法，弥补了CBR在拆卸决策领域的不足。文中还给出了实现该方法的应用程序。通过实例分析，验证了该程序的有效性和自动化程度。(C)2016爱思唯尔有限公司。保留所有权利。
This paper proposes an ontology and CBR (case-based reasoning) based method which overcomes the difficulty for computers to understand complex structures of various mechanical products and makes the disassembly decision-making process of the products fully automated and cost-saving. In this method, (1) ontology concept is applied to the disassembly decision-making. This enables computers to understand and self-reason the CBR/RBR (rule-based reasoning) based disassembly decision-making process. Since ontology uniforms different kinds of disassembly-related knowledge from different sources, the integration and sharing of the knowledge could be achieved; (2) high flexible decision-making to various conditions with high quality is achieved by the combination of ontology and CBR; (3) to achieve the decision-making when CBR fails, an ontology based RBR method is designed to complement the shortage of CBR in the disassembly decision-making field. The paper also presents an application program to realise the proposed method. In addition, a case study is analysed to verify the validity and automation of the program. (C) 2016 Elsevier Ltd. All rights reserved.