南京理工大学学报（自然科学版）2016，Vol.40Issue(5)：544-548,5.DOI:10.14177/j.cnki.32-1397n.2016.40.05.007
基于压缩感知的弹药自动装填系统数据采集方法
Data acquisition method based on compressive sensing for automatic ammunition loading system
刘曦 1侯保林 1姚来鹏1
作者信息
- 1. 南京理工大学 机械工程学院，江苏 南京210094
- 折叠
摘要
Abstract
The embedded fault diagnosis machine for the automatic ammunition loading system monitors the system realtimely, collects the data by using sensors, analyzes the data, detects and isolates faults,and predicts the health of the system in the future. In order to solve the problem that the data acquisition and storage of the traditional embedded fault diagnosis machine are reducted under the severe environment,a data acquisition method based on the compressive sensing theory is proposed. The data of the coordinated action angular velocity is sampled by the down-sample mode. By using the compressive sensing theory,the data is reconstructed by the orthogonal matching pursuit ( OMP) algorithm. The result shows that the OMP algorithm can recover the original data accurately, improve the accuracy,and guarantee the correctness of diagnosis and prognosis of the fault diagnosis machine.关键词
压缩感知/弹药装填/正交匹配追踪/数据重构Key words
compressive sensing/ammunition loading/orthogonal matching pursuit/data reconstruction分类
信息技术与安全科学引用本文复制引用
刘曦,侯保林,姚来鹏..基于压缩感知的弹药自动装填系统数据采集方法[J].南京理工大学学报（自然科学版）,2016,40(5):544-548,5.
