Title :
Lifting wavelet de-noising for stealing oil signal of pipeline
Author :
Li, Ying-chun ; Zhang, Jie ; Ming, Yan-jie ; Hou, Yan
Author_Institution :
Electron. Eng. Dept., North China Inst. of Astronaut. Eng., Lang Fang, China
Abstract :
The test system of stress wave signal about stealing oil was briefly introduced. And basic principle of lifting scheme was presented. According to test data, the characteristics of stealing oil were analyzed in time and frequency domains. Stealing oil signal usually contains high-frequency noise and low-frequency interference. According to the characteristics, the de-noising algorithm based on lifting wavelet was applied to the signal de-noising for stealing oil. The de-noising method, which can be computed fast with a simple implementation, has a good effect for signal de-noising. And the stealing oil signal is retained perfectly.
Keywords :
frequency-domain analysis; interference (signal); pipelines; signal denoising; time-domain analysis; wavelet transforms; high-frequency noise; lifting wavelet; low-frequency interference; pipeline; stealing oil signal; stress wave signal; wavelet denoising; Data mining; Laboratories; Noise reduction; Petroleum; Signal denoising; Stress; Wavelet transforms; de-noising; lifting wavelet; stealing oil signal; stress wave; test system;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554185
