Abstract
Artificial Immune System (AIS) is a new intelligent problem-solving technique that is being used in some industrial applications. This paper presents an immunity-based algorithm for tool breakage detection. The method is inspired by the negative-selection mechanism of the immune system, which is able to discriminate between the self (body elements) and the non-self (foreign pathogens). However, in our industrial application, the self is defined to be normal cutting operations and the non-self is any deviation beyond allowable variations of the cutting force. The proposed algorithm is illustrated with a simulation study of milling operations. The performance of the algorithm in detecting the occurrence of tool breakage is reported. The results show that the negative-selection algorithm detected tool breakage in all test cases.
Original language | English (US) |
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Title of host publication | Proceedings of the 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999 |
Editors | Marcello M. Veiga, John A. Meech, Michael H. Smith, Steven R. LeClair |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 257-267 |
Number of pages | 11 |
Volume | 1 |
ISBN (Electronic) | 0780354893, 9780780354890 |
DOIs | |
State | Published - Jan 1 1999 |
Externally published | Yes |
Event | 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999 - Honolulu, United States Duration: Jul 10 1999 → Jul 15 1999 |
Other
Other | 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999 |
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Country/Territory | United States |
City | Honolulu |
Period | 7/10/99 → 7/15/99 |
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
- Materials Science (miscellaneous)