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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  0, Vol. 6 Issue (100): 35-40    DOI: 10.1631/jzus.2005.AS0035
Mechanical & Energy Engineering     
Quantitative information measurement and application for machine component classification codes
LI Ling-Feng, TAN Jian-rong, LIU Bo
State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou 310027, China
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Abstract  Information embodied in machine component classification codes has internal relation with the probability distribution of the code symbol. This paper presents a model considering codes as information source based on Shannon’s information theory. Using information entropy, it preserves the mathematical form and quantitatively measures the information amount of a symbol and a bit in the machine component classification coding system. It also gets the maximum value of information amount and the corresponding coding scheme when the category of symbols is fixed. Samples are given to show how to evaluate the information amount of component codes and how to optimize a coding system.

Key words： Component classification codes      Information source      Information amount      Information entropy of code bit     
Received: 10 February 2004     
CLC:  TH166  
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LI Ling-Feng, TAN Jian-rong, LIU Bo. Quantitative information measurement and application for machine component classification codes. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 0, 6(100): 35-40.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2005.AS0035     OR     http://www.zjujournals.com/xueshu/zjus-a/Y0/V6/I100/35

[1]   Dowlatshahi, S., Nagaraj, M., 1998. Application of group technology for design data management. Computers and Industrial Engineering, 34(1):235-255.
[2]   Feng, S.H., Li, J.M., 2000. Component and supplier management technology under the environment of agile enterprise. Mechanical Science and Technology, 19(3):485-487 (in Chinese).
[3]   Jiang, D., 2001. Information Theory and Coding. University of Science and Technology of China Press, Hefei (in Chinese).
[4]   Josien, K., Liao, T.W., 2002. Simultaneous grouping of parts and machines with an integrated fuzzy clustering method. Fuzzy Sets and Systems, (126):1-21.
[5]   Karkkainen, M., Ala-Risku, T., Framling, K., 2003. The product centric approach: a solution to supply network information management problems. Computers in Industry, 52:147-159.
[6]   Li, L.F., 2002. Numerical character analysis of the classification codes of machine parts. Chinese Journal of Mechanical Engineering, 38(11):100-104 (in Chinese).
[7]   Li, L.F., Tan, J.R, Sha, E.D., 1999. Classification coding of mechanical parts base on feature information. Mechanical & Electrical Engineering, 16(5):190-191 (in Chinese).
[8]   Ni, J.F., 1999. Study on clustering of recycling discarded products. China Mechanical Engineering, 10(6):706-708 (in Chinese).
[9]   Perotti, G., Tornincass, S., 1993. A semantic technology of part family description and recognition. translated by Li Zhijun. Group Technology & Production Modernization, (1):34-39 (in Chinese).
[10]   Qamhiyah, A.Z., 1998. A strategy for the construction of customized design libraries for CAD. Computer-Aided Design, 30(11):897-904.
[1] LI Ling-Feng, TAN Jian-rong, LIU Bo. Quantitative information measurement and application for machine component classification codes[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2005, 6(Supplement1): 35-40.