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An intelligent assistant for design and material engineers in the submarine cable industry

An intelligent assistant for design and material engineers in the submarine cable industry

Tyler, M., Knight, B., Norman, P., Mejasson, P. and Petridis, M. (1999) An intelligent assistant for design and material engineers in the submarine cable industry. New Review of Applied Expert Systems, 5. pp. 203-212. ISSN 1361-0244

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Abstract

This paper describes an industrial application of case-based reasoning in engineering. The application involves an integration of case-based reasoning (CBR) retrieval techniques with a relational database. The database is specially designed as a repository of experiential knowledge and with the CBR application in mind such as to include qualitative search indices. The application is for an intelligent assistant for design and material engineers in the submarine cable industry. The system consists of three components; a material classifier and a database of experiential knowledge and a CBR system is used to retrieve similar past cases based on component descriptions. Work has shown that an uncommon retrieval technique, hierarchical searching, well represents several search indices and that this techniques aids the implementation of advanced techniques such as context sensitive weights. The system is currently undergoing user testing at the Alcatel Submarine Cables site in Greenwich. Plans are for wider testing and deployment over several sites internationally.

Item Type: Article
Additional Information: [1] The New Review of Applied Expert Systems was subsequently known as the New Review of Applied Expert Systems and Emerging Technologies.
Uncontrolled Keywords: CBR, case-based reasoning
Subjects: Q Science > QA Mathematics > QA76 Computer software
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Computer & Computational Science Research Group
School of Computing & Mathematical Sciences > Department of Computer Science
Related URLs:
Last Modified: 14 Oct 2016 08:59
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/220

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