DocumentCode
2803068
Title
An Application of Case Based Reasoning to Predict Structure Maintainability
Author
Yu Haiquan ; Peng Gaoliang ; Liu Wenjian
Author_Institution
Sch. of Mech., Harbin Inst. of Technol., Harbin, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
5
Abstract
In order to complete maintainability design and prediction in design stage, case based reasoning (CBR), as an artificial intelligence (AI) method, is used in this paper. The maintainability of structure is considered in design stage. So the cases of structure including not only function factors but also maintainability factors are presented by frame. The retrieval algorithm about similar cases is put forward through two layers: function factors and maintainability factors. With CBR, the method could help designers, by referencing previous cases, to make a conceptual maintainability design and prediction quickly, and finally finish the detailed design and prediction. In this paper a new method is put forward to predict the maintainability of structure in design stage.
Keywords
artificial intelligence; case-based reasoning; design engineering; maintenance engineering; reliability; structural engineering; artificial intelligence method; case based reasoning; design stage; function factors; maintainability design; maintainability factors; retrieval algorithm; structure maintainability; Artificial intelligence; Assembly; Character recognition; Design engineering; Design methodology; Economic forecasting; Maintenance engineering; Prediction methods; Product design; Standardization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5362535
Filename
5362535
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