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.

Publication Title

Proceedings of the 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999

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