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
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;
Conference_Titel :
Software Engineering and Service Sciences (ICSESS), 2010 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6054-0
DOI :
10.1109/ICSESS.2010.5552374