[1]孙.磨削烧伤状态的模式识别[J].南京林业大学学报(自然科学版),1994,18(03):064-68.[doi:10.3969/j.jssn.1000-2006.1994.03.013]
 Sun Xiaojun,Sheng Binghua.PATTERN RECOGNITION OF THE GRINDING BURN STATE[J].Journal of Nanjing Forestry University(Natural Science Edition),1994,18(03):064-68.[doi:10.3969/j.jssn.1000-2006.1994.03.013]
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磨削烧伤状态的模式识别
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《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

卷:
18
期数:
1994年03期
页码:
064-68
栏目:
研究论文
出版日期:
1900-01-01

文章信息/Info

Title:
PATTERN RECOGNITION OF THE GRINDING BURN STATE
文章编号:
1000-2006(1994)03-0064-05
作者:
南京林业大学机械工程学院
Author(s):
Sun Xiaojun;Sheng Binghua
College of Mechanical Engineering Nanjing Forestry University Nanjing 210037
关键词:
分类模式识别判别函数
Keywords:
:ClassificationPattern recognitionDecision function
DOI:
10.3969/j.jssn.1000-2006.1994.03.013
文献标志码:
A
摘要:
<正>本文在磨削火花温度信号特征分析的基础上,构成二维模式向量,并按模式向量的分布,用势能函数,在自学过程中形成判别函数。研究结果表明,用势能判别函数对磨削烧伤能作出正确的判别。
Abstract:
On the base of characteristic analysis of grinding sparks temperature,this paper forms atwo-dimensional vector.Then,according to the behavior of the vector distribution, potential functionis generated during self-learning process.Research results prove that the grinding burn is correctly classified by the funct.

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更新日期/Last Update: 1900-01-01