An algorithm based on the immune system for extracting fault classes from instance histories

Pham, Duc Truong and Soroka, Anthony John ORCID: https://orcid.org/0000-0002-9738-9352 2006. An algorithm based on the immune system for extracting fault classes from instance histories. Presented at: 2nd I*PROMS Virtual International Conference, online, 3-14 July 2006. Published in: Pham, Duc Truong, Eldukhri, Eldaw Elzaki and Soroka, Anthony John ORCID: https://orcid.org/0000-0002-9738-9352 eds. Intelligent Production Machines and Systems - 2nd I*PROMS Virtual International Conference, 3-14 July 2006. Oxford: Elsevier, pp. 313-318. 10.1016/B978-008045157-2/50058-4

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Abstract

This paper presents a novel means of extracting a fault class from instance histories for variants of a core product that may contain different attributes and values in different orders. This extracted fault class is then used to generate new rule sets for use in a fault diagnosis expert system. A solution based on the biological Immune System is proposed and developed, and is then tested upon several datasets. The algorithm outperforms other algorithms based upon the Immune System when querying such instance histories.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Engineering Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Subjects:	Q Science > QA Mathematics T Technology > TJ Mechanical engineering and machinery
Publisher:	Elsevier
ISBN:	9780080451572
Last Modified:	21 Oct 2022 09:47
URI:	https://orca.cardiff.ac.uk/id/eprint/37677

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