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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2005, Vol. 6 Issue (Supplement 1): 35-40    DOI: 10.1007/BF02887213
Mechanical and Energy Engineering     
Quantitative information measurement and application for machine component classification codes
LI Ling-Feng, TAN Jian-rong, LIU Bo
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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     
CLC:  TH166  
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LI Ling-Feng
TAN Jian-rong
LIU Bo
Cite this article:

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), 2005, 6(Supplement 1): 35-40.

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http://www.zjujournals.com/xueshu/zjus-a/10.1007/BF02887213     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2005/V6/ISupplement 1/35

[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), 0, 6(100): 35-40.