吉林大学学报(工学版) ›› 2010, Vol. 40 ›› Issue (增刊): 360-0364.

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Empirical knowledge acquisition of assembly sequence planning and application method

LI Shu-jie1,WANG Yang-yang1,CHEN Zong-hai1,HUANG Xiao-diao2   

  1. 1.Department of Automation, University of Science and Technology of China, Hefei 230027,China|2. Department of Mechanism Electron Engineering, Nanjing University of Technology, Nanjing 210009,China
  • Received:2009-09-01 Online:2010-09-01 Published:2010-09-01

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Abstract:

On the foundation of analysis of expertise character of assembly sequence planning process, a method of obtain assembly sequence expertise knowledge of assembly components is proposed based on rough set. Finally, the algorithm is realized by VC++ and the method is proved for its validity by assembly model of engine.

Key words: artificial intelligence, assembly sequence planning, knowledge acquisition, rough set

CLC Number: 

  • TP391.72
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