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2013 (Vol. 5, Issue: 10)
Article Information:

The Methodologies of Automatically Analyzing the Similarity of Processes Based on Features Abstracted From NC Codes

Yabo Luo, Ya Mao, He Ling and Lei Chen
Corresponding Author:  Yabo 

Key words:  Correlation relationship, group technology, NC codes, similarity theory, , ,
Vol. 5 , (10): 2923-2928
Submitted Accepted Published
September 07, 2012 October 05, 2012 March 25, 2013
Abstract:

It is difficult to draw the similarity correlation degree of the process features from NC codes since the NC codes do not represent the process features directly. This research works at the methodologies of automatically analyzing the similarity of process based on features abstracted from NC codes to improve the group efficiency. Employing the NC codes’ advantages of the clear and stable structure, good readability, taking the similarity principles as the theoretical foundation, this research regards the NC codes as similar systems to study on the problem of automation for similarity correlation comparison of process features. A detailed and concrete case study demonstrates the specific steps of the process features modeling and similarity comparison of the NC codes. The calculation and comparison shows the effectiveness of the method, which provides the foundation for group automation.
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  Cite this Reference:
Yabo Luo, Ya Mao, He Ling and Lei Chen, 2013. The Methodologies of Automatically Analyzing the Similarity of Processes Based on Features Abstracted From NC Codes.  Research Journal of Applied Sciences, Engineering and Technology, 5(10): 2923-2928.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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