The application study on Data fusion technology in classifying of Internal Component of Shells

摘要：

To classify and identify the component of abandoned shells ,a design method of using ultrasonic to detect artillery shells’ internal component based on data fusion method is presented. Firstly, ultrasonic detector is used to collect the sample data of internal component of a large number of artillery shells.Secondly, using data fusion techniques to set up neural network fusion model for data processing and feature extraction, such as the first wave amplitude,frequency,and eventually realizing the identification of shells. Experiments showed that the method is accurate and reliable.

关键词： abandoned shell artificial neural networks ultrasonic data fusion internal component

作者: Wei Gao Hai Zhao Yanrong Cheng Zhan Mei

作者单位: Institute of Information and Technology Northeastern University Shenyang Institute of Chemical Techn Institute of Information and Technology Northeastern University Shenyang, China Shenyang Institute of Chemical Technology Shenyang, China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-4

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）