A study in applying case-based reasoning to engineering design: Mechanical bearing design
Case-based reasoning (CBR) is a promising methodology for solving many complex engineering design problems. CBR employs past problem-solving experiences when solving new problems. This paper presents a case study of how to apply CBR to a specific engineering problem: mechanical bearing design. A sys...
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Veröffentlicht in: | AI EDAM 2003-08, Vol.17 (3), p.235-252 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Case-based reasoning (CBR) is a promising methodology for solving
many complex engineering design problems. CBR employs past
problem-solving experiences when solving new problems. This paper
presents a case study of how to apply CBR to a specific engineering
problem: mechanical bearing design. A system is developed that
retrieves previous design cases from a case repository and uses
adaptation techniques to modify them to satisfy the current problem
requirements. The approach combines both parametric and constraint
satisfaction adaptations. Parametric adaptation considers not only
parameter substitution but also the interrelationships between the
problem definition and its solution. Constraint satisfaction provides a
method to globally check the design requirements to assess case
adaptability. Currently, our system has been implemented and tested in
the domain of rolling bearings. This work serves as a template for
application of CBR techniques to realistic engineering problems. |
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ISSN: | 0890-0604 1469-1760 |
DOI: | 10.1017/S0890060403173064 |