Ontology-Based Design Knowledge Representation for Complex Product

Author(s):  
Liu Yang ◽  
Linfang Qian ◽  
Shengchun Ding ◽  
Yadong Xu
1999 ◽  
Vol 12 (2) ◽  
pp. 221-228 ◽  
Author(s):  
Sanja Vranes̆ ◽  
Mladen Stanojević

2013 ◽  
Vol 291-294 ◽  
pp. 2557-2561
Author(s):  
Tao Sun ◽  
Hai Bo Liu

The transformer fault diagnosis expert system design knowledge representation and reasoning mechanisms are the key issue. Characteristics of transformer fault diagnosis system based on human experts, learning on the basis of the human expert diagnosis of transformer faults, to build a transformer fault diagnosis expert system of systems architecture, knowledge representation and reasoning mechanisms for a more detailed analysis and discussion.


1997 ◽  
Vol 63 (5) ◽  
pp. 1015-1032 ◽  
Author(s):  
J. Bento ◽  
B. Feijó ◽  
D.L. Smith

2011 ◽  
Vol 52-54 ◽  
pp. 1193-1198
Author(s):  
Neng Wan ◽  
Rong Mo ◽  
Zhi Yong Chang

The purpose of this paper is to build knowledge description model for complex product design. In order to uniform the semantic of glossary in design process, an extensive glossary semantic tree is built up and the corresponding semantic similarity calculation algorithm is proposed. The complex design knowledge can be divided into instance pattern, chart pattern, formula pattern and rule pattern. The knowledge models are proposed for these four pattern knowledge models. At last, a design knowledge modeling and reusing system for complex product is achieved, and the design knowledge can be inherited by it.


2010 ◽  
Vol 118-120 ◽  
pp. 576-580 ◽  
Author(s):  
Xue Fen Ma ◽  
Xu Dong Dai

Based on the features of distributed knowledge resources environment and taking knowledge mobility in modern design as its supporting goal, this essay focuses on research into knowledge classification systems and representation models of product design. It proposes a six-dimension design knowledge classification system and a cubic knowledge representation model operating in an environment of distributed resources. The six dimensions of design knowledge classification are discipline, product, resource unit, application process, expression pattern, and design domain respectively. Accordingly, the six planes of the cubic knowledge representation model are, therefore, the discipline plane, expression pattern plane, resource unit plane, product plane, application process plane, and design domain plane, clearly represent the application profiles of design knowledge in six dimensions. The six-dimension design knowledge classification system and cubic model are applied to fluid simulation implicit knowledge (expert knowledge) as a real case, and are the basis upon which an application system of fluid emulation expert knowledge service is developed. The design knowledge classification system and representation model proposed in this essay are the theoretical foundations for knowledge flow model development in modern product design and the construction of knowledge management systems for modern design platforms.


2012 ◽  
Vol 605-607 ◽  
pp. 365-370
Author(s):  
Jia Li ◽  
Yun Bin Yang ◽  
Li Fan Wei

Knowledge Based Engineering (KBE) helps sharing and reusing knowledge in modern mechanical design field. As a core part of KBE, various methods of knowledge representation were studied. In order to reuse the mechanical design knowledge, the methodology of ontology-based knowledge representation was discussed. First, the concepts, formal description, specialties and languages of ontology were described. Then, three categories of ontology in the field of mechanical design, general ontology, domain ontology and product ontology, were discussed. The product ontology was analyzed by the configuration design method. Finally, an example of ontology-based knowledge representation for mechanical products was studied. The work about ontology-based knowledge representation methodology may support the application of KBE in mechanical design field.


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