Application in Auto-Body Inner Packaging Integrating Case-Based Reasoning and Constraint Satisfaction

AbstractThis paper reviews a number of hybrid Case-Based Reasoning (CBR) systems. These systems are hybrid because the CBR components cooperate with one or more “co-reasoners” which employ a different type of reasoning strategy (e.g. qualitative simulation, constraint satisfaction, etc.). In this paper, we propose that CBR is in fact an inherently hybrid process. We review a number of systems and identify three classes of architecture which have been used for hybrid systems. We believe that to successfully exploit a co-reasoner within a CBR system it is necessary to analyse where, when, why and how the information provided by the co-reasoner will be used. We propose the KADS methodology as a suitable way of performing such an analysis and illustrate its use by example. We conclude by considering the control issues associated with the construction of hybrid CBR systems. We review the requirements of such systems and consider how well the two existing cooperation architectures match those requirements.

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Applying Case-Based Reasoning to Mechanical Bearing Design

Volume 3: 5th Design for Manufacturing Conference ◽

10.1115/detc2000/dfm-14011 ◽

2000 ◽

Author(s):

Xiaoli Qin ◽

William C. Regli

Keyword(s):

Constraint Satisfaction ◽

Rolling Bearing ◽

Problem Definition ◽

Design System ◽

Case Based Reasoning ◽

Design Problems ◽

Engineering Design Problems ◽

Complex Engineering ◽

Bearing Design ◽

Case Based

Abstract Case-Based Reasoning (CBR) provides a promising methodology for solving many complex engineering design problems. CBR is based on the idea that past problem-solving experiences can be reused and learned from in solving new problems. This paper presents an overview of a CBR design system to assist human engineers in performing mechanical bearing design. It retrieves previously designed cases from a case-base and uses adaptation techniques to adapt them to satisfy the current problem requirements. Our approach combines parametric adaptations and constraint satisfaction adaptations. The technique of parametric adaptation considers not only parameter substitution, but also the interrelationships between the problem definition and its solution. The technique of constraint satisfaction adaptation provides a method to globally check the design requirements to assess case adaptability. Currently, our system has been tested in the rolling bearing domain.

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A study in applying case-based reasoning to engineering design: Mechanical bearing design

Artificial intelligence for engineering design analysis and manufacturing ◽

10.1017/s0890060403173064 ◽

2003 ◽

Vol 17 (3) ◽

pp. 235-252 ◽

Cited By ~ 6

Author(s):

XIAOLI QIN ◽

WILLIAM C. REGLI

Keyword(s):

Engineering Design ◽

Constraint Satisfaction ◽

Engineering Problem ◽

Problem Definition ◽

Case Based Reasoning ◽

Design Problems ◽

Engineering Design Problems ◽

Previous Design ◽

Bearing Design ◽

Case Based

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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