A concept of an intelligent optimal design approach is proposed, which isorganized by a kind of compound knowledge model. The compound knowledge consists of modularizedquantitative knowledge, inclusive experience know...A concept of an intelligent optimal design approach is proposed, which isorganized by a kind of compound knowledge model. The compound knowledge consists of modularizedquantitative knowledge, inclusive experience knowledge and case-based sample knowledge. By usingthis compound knowledge model, the abundant quantity information of mathematical programming and thesymbolic knowledge of artificial intelligence can be united together in this model. The intelligentoptimal design model based on such a compound knowledge and the automatically generateddecomposition principles based on it are also presented. Practically, it is applied to theproduction planning, process schedule and optimization of production process of a refining &chemical work and a great profit is achieved. Specially, the methods and principles are adaptablenot only to continuous process industry, but also to discrete manufacturing one.展开更多
In this paper, the characters of the ferrography and image recognitiontechnology are analyzed. The fault diagnosis system for the power device based on the ferrographyand image recognition technology is designed. At t...In this paper, the characters of the ferrography and image recognitiontechnology are analyzed. The fault diagnosis system for the power device based on the ferrographyand image recognition technology is designed. At the same time, the structure, the design andimplementing method, and the functions of each module of this system are described in detail.展开更多
Apartis described using features.Aneuro fuzzy system then determines the machining sequence for each feature.Previous process plans were utilized to build,test,and validate the Neuro Fuzzy Network (NFN). Parts hav...Apartis described using features.Aneuro fuzzy system then determines the machining sequence for each feature.Previous process plans were utilized to build,test,and validate the Neuro Fuzzy Network (NFN). Parts having similar manufacturing sequences are grouped into families, also using an NFN. A standard manufacturing sequenceis obtained for each family comprising allthe operations applicable to the features ofthe partsinthefamily.An expertsystem then adaptsthisstandard sequence forthe particular partbeing planned.Theoptimaloperation sequenceisinherited by the new part.The procedure is demonstrated by an example industrial part.展开更多
基金This project is supported by China 863 Hi-tech Program CIMS Topic (No.863-511-945-015).
文摘A concept of an intelligent optimal design approach is proposed, which isorganized by a kind of compound knowledge model. The compound knowledge consists of modularizedquantitative knowledge, inclusive experience knowledge and case-based sample knowledge. By usingthis compound knowledge model, the abundant quantity information of mathematical programming and thesymbolic knowledge of artificial intelligence can be united together in this model. The intelligentoptimal design model based on such a compound knowledge and the automatically generateddecomposition principles based on it are also presented. Practically, it is applied to theproduction planning, process schedule and optimization of production process of a refining &chemical work and a great profit is achieved. Specially, the methods and principles are adaptablenot only to continuous process industry, but also to discrete manufacturing one.
文摘In this paper, the characters of the ferrography and image recognitiontechnology are analyzed. The fault diagnosis system for the power device based on the ferrographyand image recognition technology is designed. At the same time, the structure, the design andimplementing method, and the functions of each module of this system are described in detail.
文摘Apartis described using features.Aneuro fuzzy system then determines the machining sequence for each feature.Previous process plans were utilized to build,test,and validate the Neuro Fuzzy Network (NFN). Parts having similar manufacturing sequences are grouped into families, also using an NFN. A standard manufacturing sequenceis obtained for each family comprising allthe operations applicable to the features ofthe partsinthefamily.An expertsystem then adaptsthisstandard sequence forthe particular partbeing planned.Theoptimaloperation sequenceisinherited by the new part.The procedure is demonstrated by an example industrial part.
