The Research of Learning Mechanism in Fault Diagnosis System of CNC Based on MAS

Han Zhang; Rui Feng Guo; Cong Geng

doi:10.4028/www.scientific.net/AMR.834-836.917

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 834-836The Research of Learning Mechanism in Fault...

The Research of Learning Mechanism in Fault Diagnosis System of CNC Based on MAS

Abstract:

In order to solve problems in adaptive learning of diagnosis knowledge, the fault diagnosis system of computer numerical control (CNC) based on multi-agent system (MAS) is studied and the learning mechanism based on artificial immune network is proposed. The structural model of immune network and the corresponding artificial immune algorithm are also designed. The experiment result indicates that that proposed algorithm has faster learning speed and higher classification accuracy.

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Periodical:

Advanced Materials Research (Volumes 834-836)

Pages:

917-925

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.834-836.917

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Online since:

October 2013

Authors:

Han Zhang*, Rui Feng Guo, Cong Geng

Keywords:

Artificial Immune Network, CNC, Fault Diagnosis, MAS

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* - Corresponding Author

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