Journal article
A study in applying case-based reasoning to engineering design: Mechanical bearing design
Artificial intelligence for engineering design, analysis and manufacturing, v 17(3)
Aug 2003
Abstract
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.
Metrics
Details
- Title
- A study in applying case-based reasoning to engineering design: Mechanical bearing design
- Creators
- XIAOLI Qin - Drexel UniversityWILLIAM C. Regli - Drexel University
- Publication Details
- Artificial intelligence for engineering design, analysis and manufacturing, v 17(3)
- Publisher
- Cambridge University Press
- Number of pages
- 18
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000187623900006
- Scopus ID
- 2-s2.0-0347268998
- Other Identifier
- 991019346719504721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Interdisciplinary Applications
- Engineering, Manufacturing
- Engineering, Multidisciplinary