@inproceedings{9ed3df5426bd4d5fa1628e0a0684ce19,
title = "Artificial immune systems in industrial applications",
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.",
author = "Dipankar Dasgupta and Stephanie Forrest",
note = "Publisher Copyright: {\textcopyright} 1999 IEEE.; 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999 ; Conference date: 10-07-1999 Through 15-07-1999",
year = "1999",
doi = "10.1109/IPMM.1999.792486",
language = "English (US)",
series = "Proceedings of the 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "257--267",
editor = "Veiga, {Marcello M.} and Meech, {John A.} and Smith, {Michael H.} and LeClair, {Steven R.}",
booktitle = "Proceedings of the 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999",
}