Neural Networks Application in NC Machine Reliability Researching

被引：0

作者：

Zhang Hong Bin ^{[1
]}

Jia Zhi Xin ^{[1
]}

Xi An Min ^{[1
]}

机构：

[1] Univ Sci & Technol China, Sch Mech Engn, Hefei, Peoples R China

来源：

NANOTECHNOLOGY AND COMPUTER ENGINEERING | 2010年 / 121-122卷

关键词：

Neural networks; NC machine; Reliability modeling; Reliability prediction;

D O I：

10.4028/www.scientific.net/AMR.121-122.271

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The application of neural networks in Numerical Control (NC) machine reliability researching is introduced in this paper. Because of small reliability data sample, it is difficult to establish the reliability data distribution model, predict the reliability and allocate the reliability of NC machine. By using the neural networks, the reliability data of NC machine is extended. The reliability data distribution model can be established, the reliability prediction can also be done accurately. It is proved by the instance that the reliability prediction accuracy is improved 57% by the proposed method. The application of neural networks has a good reference to NC machine reliability researching.

引用

页码：271 / 274

页数：4

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