DocumentCode
1637173
Title
Extraction of the soil vibration signal based on Hilbert transform
Author
Hao, Shangqing ; Shi, Guangshun ; Wang, Kai ; Yan, Hu
Author_Institution
Inst. of Machine Intell., Nankai Univ., Tianjin, China
fYear
2010
Firstpage
115
Lastpage
118
Abstract
This paper researches on real-time noise reduction and segmentation method of soil vibration signals collected by the fiber optic laid in the vicinity of oil pipeline. First, we extract valid fragments of signals using the self-correlation coefficient. Then Hilbert transform is performed to reduce noise and enhance on those extracted fragments. Finally, we collect vibration signals caused by destructive events with dual-threshold method. Real application showed that the method proposed in this paper is robust and accurate enough to extract all the signals of our interest, making a great contribution to improving the performance in the following classification stage.
Keywords
Hilbert transforms; feature extraction; pipelines; signal classification; soil; vibrations; Hilbert transform; dual-threshold method; fiber optic; oil pipeline; real-time noise reduction; self-correlation coefficient; signal classification; soil vibration signal extraction segmentation method; Noise; Noise reduction; Petroleum; Pipelines; Real time systems; Transforms; Vibrations; Hilbert transform; Soil vibration signals; de-noise; signal segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Sciences (ICSESS), 2010 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-6054-0
Type
conf
DOI
10.1109/ICSESS.2010.5552374
Filename
5552374
Link To Document