Study on on-line monitoring method for grinding quality

被引：2
|
作者：
Liu, GJ [1 ]
Gong, YD
Wang, WS
机构：
[1] Qingdao Inst Architecture & Engn, Dept Mech Engn, Qingdao 266033, Peoples R China
[2] Northeastern Univ, Sch Mech Engn & Automat, Shenyang 110004, Peoples R China
来源：
ADVANCES IN GRINDING AND ABRASIVE PROCESSES | 2004年 / 259-2卷
关键词：
grinding; surface quality; AE signal; on-line monitor; neural network;
D O I：
10.4028/www.scientific.net/KEM.259-260.287
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A on-line monitoring new method for grinding quality is presented based on theory analysis and test study, which collects the information of grinding quality from the AE signals produced by friction and grinding process to realize the on-line intelligent detection and prediction of grinding quality by A wavelet neural network & Fuzzy BP algorithm based network. The reliability and feasibility of the method is proved by actual test. The test results indicate that this method can be used to monitor grinding quality on line.
引用
收藏
页码：287 / 292
页数：6
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