Energy Feature Extraction for Stealing Oil Signal of Pipeline withWavelet Package Transform

被引：0

作者：

Li Yingchun ^{[1
]}

Liu Peipei ^{[1
]}

Hou Yan ^{[2
]}

Ming Yanjie ^{[2
]}

机构：

[1] North China Inst Astronaut Engn, Dept Elect Engn, Langfang 065000, Peoples R China

[2] China Univ Min & Technol Beijing, State Key Lab Coal Resources & Safe Min, Beijing 100085, Peoples R China

来源：

PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE | 2010年

关键词：

Stealing Oil Signal; Data Collection; Wavelet Package Transform; Energy Distribution;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The key to carry out real-timemonitoring of stealing oil events is the effective identification of stealing oil stress wave signal. The test system of stress wave signal about stealing oil was briefly introduced, and on-the-spot data collection steps were given. With wavelet package transform, features of energy distribution for stealing oil signal on different band were obtained. Analysis of experimental results show that identification of stealing oil signal can be done through the difference of energy distribution characteristics at 0Hz similar to 640Hz band. The research provides a new approach for identification of stealing oil signal.

引用

页码：2774 / 2777

页数：4