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) |
|---|---|
| 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 |
|---|---|
| Country/Territory | United States |
| City | Honolulu |
| Period | 7/10/99 → 7/15/99 |
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
- Materials Science (miscellaneous)