This paper proposes a novel dynamic Petri net (PN) model based on Dempster-Shafer (D-S) evidence theory, and this improved evidential Petri net (EPN) model is used in knowledge inference and reliability analysis of co...This paper proposes a novel dynamic Petri net (PN) model based on Dempster-Shafer (D-S) evidence theory, and this improved evidential Petri net (EPN) model is used in knowledge inference and reliability analysis of complex mechanical systems. The EPN could take epistemic uncertainty such as interval information, subjective information into account by applying D-S evidence quantification theory. A dynamic representation model is also proposed based on the dynamic operation rules of the EPN model, and an improved artificial bee colony (ABC) algorithm is employed to proceed optimization calculation during the complex systems' learning process. The improved ABC algorithm and D-S evidence theory overcome the disadvantage of extremely subjective in traditional knowledge inference efficiently and thus could improve the accuracy of the EPN learning model. Through a simple numerical case and a satellite driving system analysis, this paper proves the superiority of the EPN and the dynamic knowledge representation method in reliability analysis of complex systems.展开更多
A new knowledge acquisition methodology for mechani ca l knowledge Web was put forward in this paper after discussed the backwards of k nowledge acquisition method for technical document: natural language understandi ...A new knowledge acquisition methodology for mechani ca l knowledge Web was put forward in this paper after discussed the backwards of k nowledge acquisition method for technical document: natural language understandi ng and ES. A kind of united knowledge representation model, which can include ma ny sorts of knowledge carriers and knowledge representation methods, was advance d firstly, and then mechanical knowledge XML tag was designed based on it. Thus, knowledge still stay in primary electronic document, and knowledge document bec ome document knowledge base based on Web with hierarchy. A corresponding method was advanced and a knowledge acquisition system was developed. It can understand user’s questions in natural language and then find the relevant knowledge and execute reasoning and answer the user’s questions according the result of reaso ning and realized the automatic knowledge acquisition from Web knowledge documen t.展开更多
基金supported by the National Basic Research Program of China(2013CB733002)
文摘This paper proposes a novel dynamic Petri net (PN) model based on Dempster-Shafer (D-S) evidence theory, and this improved evidential Petri net (EPN) model is used in knowledge inference and reliability analysis of complex mechanical systems. The EPN could take epistemic uncertainty such as interval information, subjective information into account by applying D-S evidence quantification theory. A dynamic representation model is also proposed based on the dynamic operation rules of the EPN model, and an improved artificial bee colony (ABC) algorithm is employed to proceed optimization calculation during the complex systems' learning process. The improved ABC algorithm and D-S evidence theory overcome the disadvantage of extremely subjective in traditional knowledge inference efficiently and thus could improve the accuracy of the EPN learning model. Through a simple numerical case and a satellite driving system analysis, this paper proves the superiority of the EPN and the dynamic knowledge representation method in reliability analysis of complex systems.
文摘A new knowledge acquisition methodology for mechani ca l knowledge Web was put forward in this paper after discussed the backwards of k nowledge acquisition method for technical document: natural language understandi ng and ES. A kind of united knowledge representation model, which can include ma ny sorts of knowledge carriers and knowledge representation methods, was advance d firstly, and then mechanical knowledge XML tag was designed based on it. Thus, knowledge still stay in primary electronic document, and knowledge document bec ome document knowledge base based on Web with hierarchy. A corresponding method was advanced and a knowledge acquisition system was developed. It can understand user’s questions in natural language and then find the relevant knowledge and execute reasoning and answer the user’s questions according the result of reaso ning and realized the automatic knowledge acquisition from Web knowledge documen t.
